21.4.2 Chromosome Analysis and Extraction, Genome

Paton, K.,
Conic sections in chromosome analysis,
PR(2), No. 1, January 1970, pp. 39-40.
Elsevier DOI 0309
BibRef

Lee, E.T.,
The shape-oriented dissimilarity of polygons and its application to the classification of chromosome images,
PR(6), No. 1, June 1974, pp. 47-60.
Elsevier DOI 0309
BibRef

Vanderheydt, L., Oosterlinck, A., van Daele, J., van den Berghe, H.,
Design of a graph-representation and a fuzzy-classifier for human chromosomes,
PR(12), No. 3, 1980, pp. 201-210.
Elsevier DOI 0309
BibRef

Vanderheydt, L., Dom, F., Oosterlinck, A., van den Berghe, H.,
Two-dimensional shape decomposition using fuzzy subset theory applied to automated chromosome analysis,
PR(13), No. 2, 1981, pp. 147-157.
Elsevier DOI 0309
BibRef

Nickolls, P., Piper, J., Rutovitz, D., Chisholm, A., Johnstone, I., Robertson, M.,
Pre-processing of images in an automated chromosome analysis system,
PR(14), No. 1-6, 1981, pp. 219-229.
Elsevier DOI 0309
BibRef

Lundsteen, C.[Claes], Gerdes, T.[Tommy], Philip, K.[Kim],
A model for selection of attributes for automatic pattern recognition. Stepwise data compression monitored by visual classification,
PR(15), No. 3, 1982, pp. 243-251.
Elsevier DOI 0309
Based on a pattern recognition study of human chromosomes a model is proposed for selection of attributes for automatic pattern recognition. BibRef

Harms, H., Gunzer, U., Aus, H.M.,
Combined Local Color and Texture Analysis of Stained Cells,
CVGIP(33), No. 3, March 1986, pp. 364-376.
Elsevier DOI BibRef 8603

Gallus, G., Neurath, P.W.,
Improved Computer Chromosome Analysis Incorporating Preprocessing and Boundary Analysis,
Physics in Med. and Bio.(15), No. 3, 1970, p0p. 435-445. BibRef 7000

Klinger, A., Kochman, A., Alexandridis, N.A.,
Computer Analysis of Chromosome Patterns,
TC(20), No. 9, September 1971, ppp. 1014. BibRef 7109

Onoe, M., Takagi, M., Yukimatsu, K.,
Chromosome Analysis by Minicomputer,
CGIP(2), 1973, pp. 402-416. BibRef 7300

Granlund, G.H.[Goesta H.],
Statistical Analysis of Chromosome Characteristics,
PR(6), No. 2, October 1974, pp. 115-126.
Elsevier DOI BibRef 7410

Tso, M.K.S., Graham, J.,
The Transformation Algorithm as an Aid to Chromosome Classification,
PRL(1), 1983, pp. 489-496. BibRef 8300

Piper, J., Granum, E., Rutovitz, D., Ruttledge, H.,
Automation of Chromosome Analysis,
SP(2), 1980, pp. 203-221. BibRef 8000

Piper, J.,
Classification of Chromosomes Contrained by Expected Class Size,
PRL(4), 1986, pp. 391-395. BibRef 8600

Piper, J., Rutovitz, D.,
A Parallel Processor Implementation of a Chromosome Analysis System,
PRL(4), 1986, pp. 397-404. BibRef 8600

Ji, L.[Liang],
Intelligent splitting in the chromosome domain,
PR(22), No. 5, 1989, pp. 519-532.
Elsevier DOI 0309
BibRef

He, L.[Liang], Chai, Z.M.[Zhen-Ming],
A new method of automatic SCE detection,
PR(23), No. 1-2, 1990, pp. 95-97.
Elsevier DOI 0401
sister chromatid exchange. BibRef

Turner, M., Austin, J., Allinson, N.M., Thompson, P.,
Chromosome location and feature extraction using neural networks,
IVC(11), No. 4, May 1993, pp. 235-239.
Elsevier DOI 0401
BibRef

Lerner, B., Guterman, H., Dinstein, I., Romem, Y.,
Medial Axis Transform-Based Features and a Neural-Network for Human-Chromosome Classification,
PR(28), No. 11, November 1995, pp. 1673-1683.
Elsevier DOI Medial Axis Transform. BibRef 9511

Dougherty, E.R.[Edward R.], Chen, Y.D.[Yi-Dong], Waks, A.[Amir],
Bayesian Morphological Peak Estimation and Its Application to Chromosome Counting Via Fluorescence in-Situ Hybridization,
PR(29), No. 6, June 1996, pp. 987-996.
Elsevier DOI 9606
BibRef

Ritter, G.[Gunter], Gallegos, M.T.[María Teresa], Gaggermeier, K.[Karl],
Automatic context-sensitive karyotyping of human chromosomes based on elliptically symmetric statistical distributions,
PR(28), No. 6, June 1995, pp. 823-831.
Elsevier DOI 0401
BibRef

Ritter, G.[Gunter], Gallegos, M.T.[María Teresa],
Outliers in Statistical Pattern Recognition and an Application to Automatic Chromosome Classification,
PRL(18), No. 6, June 1997, pp. 525-539. 9710
BibRef

Agam, G., Dinstein, I.,
Geometric Separation of Partially Overlapping Nonrigid Objects Applied to Automatic Chromosome Classification,
PAMI(19), No. 11, November 1997, pp. 1212-1222.
IEEE DOI 9712
Merge the separation problem and recognition problem. BibRef

Stanley, R.J.[Ronald J.], Keller, J.M.[James M.], Gader, P.D.[Paul D.], Caldwell, C.W.[Charles W.],
Homologue Matching Applications: Recognition of Overlapped Chromosomes,
PAA(1), No. 4 1998, pp. 206-217. BibRef 9800

Stanley, R.J., Keller, J.M., Gader, P.D., Caldwell, C.W.,
Data-Driven Homolog Matching for Chromosome Identification,
MedImg(17), No. 3, June 1998, pp. 451-462.
IEEE Top Reference. 9809
BibRef

Charters, G.C.[Graham C.], Graham, J.[Jim],
Trainable grey-level models for disentangling overlapping chromosomes,
PR(32), No. 8, August 1999, pp. 1335-1349.
Elsevier DOI BibRef 9908

Ritter, G.[Gunter], Gaggermeier, K.[Karl],
Automatic classification of chromosomes by means of quadratically asymmetric statistical distributions,
PR(32), No. 6, June 1999, pp. 997-1008.
Elsevier DOI BibRef 9906

Ritter, G.[Gunter], Schreib, G.[Gernot],
Using dominant points and variants for profile extraction from chromosomes,
PR(34), No. 4, April 2001, pp. 923-938.
Elsevier DOI 0101
BibRef
Earlier:
Profile and Feature Extraction from Chromosomes,
ICPR00(Vol II: 287-290).
IEEE DOI 0009
BibRef

Wang, Y.P.[Yu-Ping], Wu, Q.A.[Qi-Ang], Castleman, K.R., Xiong, Z.X.[Zi-Xiang],
Chromosome image enhancement using multiscale differential operators,
MedImg(22), No. 5, May 2003, pp. 685-693.
IEEE Abstract. 0307
BibRef

Wang, Y.P.,
Image Representations Using Multiscale Differential Operators,
IP(8), No. 12, December 1999, pp. 1757-1771.
IEEE DOI 9912
BibRef

Urdiales García, C.[Cristina], Bandera Rubio, A.[Antonio], Arrebola Pérez, F.[Fabián], Sandoval Hernández, F.[Francisco],
A curvature-based multiresolution automatic karyotyping system,
MVA(14), No. 3, July 2003, pp. 145-156.
Springer DOI 0308
BibRef

Cai, N.[Nian], Hu, K.H.[Kuang-Hu], Xiong, H.T.[Hai-Tao], Li, S.Y.[Shu-Yu], Su, W.F.[Wan-Fang], Zhu, F.S.[Feng-Sui],
Image segmentation of G bands of Triticum monococcum chromosomes based on the model-based neural network,
PRL(25), No. 3, February 2004, pp. 319-329.
Elsevier DOI 0401
BibRef

Bhandarkar, S.M.[Suchendra M.], Jiang, T.Z.[Tong-Zhang], Verma, K.[Kunal], Li, N.[Nan],
Automated analysis of DNA hybridization images for high-throughput genomics,
MVA(15), No. 3, July 2004, pp. 121-138.
Springer DOI 0407
BibRef
Earlier:
Image Analysis for High Throughput Genomics,
ICIP01(II: 285-288).
IEEE DOI 0108
BibRef

Bhandarkar, S.M.[Suchendra M.], Jiang, T.Z.[Tong-Zhang],
Automated Analysis of DNA Hybridization Images,
WACV00(126-131).
IEEE DOI 0010
BibRef

Hengerer, A., Wunder, A., Wagenaar, D.J., Vija, A.H., Shah, M., Grimm, J.,
From Genomics to Clinical Molecular Imaging,
PIEEE(93), No. 4, April 2005, pp. 819-828.
IEEE DOI 0504
BibRef

Sampat, M.P., Bovik, A.C., Aggarwal, J.K., Castleman, K.R.,
Supervised parametric and non-parametric classification of chromosome images,
PR(38), No. 8, August 2005, pp. 1209-1223.
Elsevier DOI 0505
BibRef

Liu, J., Demirci, O., Calhoun, V.D.,
A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function,
SPLetters(15), No. 1, 2008, pp. 413-416.
IEEE DOI 0804
BibRef

Choi, H., Bovik, A.C., Castleman, K.R.,
Feature Normalization via Expectation Maximization and Unsupervised Nonparametric Classification For M-FISH Chromosome Images,
MedImg(27), No. 8, August 2008, pp. 1107-1119.
IEEE DOI 0808
BibRef

Choi, H., Castleman, K.R., Bovik, A.C.,
Color Compensation of Multicolor FISH Images,
MedImg(28), No. 1, January 2009, pp. 129-136.
IEEE DOI 0901
BibRef
Earlier:
Segmentation and Fuzzy-Logic Classification of M-FISH Chromosome Images,
ICIP06(69-72).
IEEE DOI 0610
BibRef

Wu, Q.A., Liu, Z., Chen, T., Xiong, Z.X., Castleman, K.R.,
Subspace-Based Prototyping and Classification of Chromosome Images,
IP(14), No. 9, September 2005, pp. 1277-1287.
IEEE DOI 0508
BibRef

Sage, D., Neumann, F.R., Hediger, F., Gasser, S.M., Unser, M.,
Automatic Tracking of Individual Fluorescence Particles: Application to the Study of Chromosome Dynamics,
IP(14), No. 9, September 2005, pp. 1372-1383.
IEEE DOI 0508
BibRef

Moradi, M.[Mehdi], Setarehdan, S.K.[S. Kamaledin],
New features for automatic classification of human chromosomes: A feasibility study,
PRL(27), No. 1, 1 January 2006, pp. 19-28.
Elsevier DOI 0512
BibRef

Schwartzkopf, W.C., Bovik, A.C., Evans, B.L.,
Maximum-likelihood techniques for joint segmentation-classification of multispectral chromosome images,
MedImg(24), No. 12, December 2005, pp. 1593-1610.
IEEE DOI 0601
BibRef

Kao, J.H.[Jau-Hong], Chuang, J.H.[Jen-Hui], Wang, T.P.[Tsai-Pei],
Chromosome classification based on the band profile similarity along approximate medial axis,
PR(41), No. 1, January 2008, pp. 77-89.
Elsevier DOI 0710
BibRef
Earlier:
Automatic Chromosome Classification Using Medial Axis Approximation and Band Profile Similarity,
ACCV06(II:274-283).
Springer DOI 0601
Chromosome classification; Medial axis; Sequence similarity; Sequence matching BibRef

Ritter, G.[Gunter], Gao, L.[Le],
Automatic segmentation of metaphase cells based on global context and variant analysis,
PR(41), No. 1, January 2008, pp. 38-55.
Elsevier DOI 0710
Automatic chromosome segmentation; Karyotyping; Shape analysis; Context; Variant analysis; Diagnostic classification BibRef

Bandyopadhyay, S., Maulik, U., Roy, D.,
Gene Identification: Classical and Computational Intelligence Approaches,
SMC-C(38), No. 1, January 2008, pp. 55-68.
IEEE DOI 0712
BibRef

Legrand, B.[Benoit], Chang, C.S., Ong, S.H., Neo, S.Y.[Soek-Ying], Palanisamy, N.[Nallasivam],
Chromosome classification using dynamic time warping,
PRL(29), No. 3, 1 February 2008, pp. 215-222.
Elsevier DOI 0801
Chromosome; Karyotype; Feature extraction; Classification; Dynamic time warping BibRef

Karvelis, P.S., Tzallas, A.T., Fotiadis, D.I., Georgiou, I.,
A Multichannel Watershed-Based Segmentation Method for Multispectral Chromosome Classification,
MedImg(27), No. 5, May 2008, pp. 697-708.
IEEE DOI 0711
BibRef

Roshtkhari, M.J.[Mehrsan Javan], Setarehdan, S.K.[Seyed Kamaledin],
A novel algorithm for straightening highly curved images of human chromosome,
PRL(29), No. 9, 1 July 2008, pp. 1208-1217.
Elsevier DOI 0711
Curved chromosomes; Chromosome classification; Projection vectors; Chromosome straightening BibRef

Shah, S.K.[Shishir K.],
Performance Modeling and Algorithm Characterization for Robust Image Segmentation: Robust Image Segmentation,
IJCV(80), No. 1, October 2008, pp. xx-yy.
Springer DOI 0809
BibRef
Earlier:
Segmenting Biological Particles in Multispectral Microscopy Images,
WACV07(44-44).
IEEE DOI 0702
BibRef
Earlier:
Multispectral Integration for Segmentation of Chromosome Images,
CAIP05(506).
Springer DOI 0509
BibRef

Legrand, B., Chang, C.S., Ong, S.H., Neo, S.Y., Palanisamy, N.,
Automated Identification of Chromosome Segments Involved in Translocations by Combining Spectral Karyotyping and Banding Analysis,
SMC-A(38), No. 6, November 2008, pp. 1381-1384.
IEEE DOI 0811
BibRef

Foret, S.[Sylvain], Wilson, S.R.[Susan R.], Burden, C.J.[Conrad J.],
Empirical distribution of k-word matches in biological sequences,
PR(42), No. 4, April 2009, pp. 539-548.
Elsevier DOI 0812
Alignment-free sequence comparison; Biological sequences; Genomic data BibRef

Liu, H.W.[Hua-Wen], Liu, L.[Lei], Zhang, H.J.[Hui-Jie],
Ensemble gene selection for cancer classification,
PR(43), No. 8, August 2010, pp. 2763-2772.
Elsevier DOI 1006
Gene selection; Ensemble learning; Cancer classification; Mutual information; Microarray data BibRef

Douzal-Chouakria, A.[Ahlame], Diallo, A.[Alpha], Giroud, F.[Francoise],
A random-periods model for the comparison of a metrics efficiency to classify cell-cycle expressed genes,
PRL(31), No. 12, 1 September 2010, pp. 1608-1617.
Elsevier DOI 1008
Time series; Distance; Clustering; Classification; Genes expression profiles BibRef

Karvelis, P.S.[Petros S.], Likas, A.[Aristidis], Fotiadis, D.I.[Dimitrios I.],
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths,
PRL(31), No. 16, December 2010, pp. 2474-2488.
Elsevier DOI 1011
Chromosome classification; Watershed transform; Karyotyping; Multiplex Fluorescent In Situ Hybridization BibRef

Karvelis, P.S.[Petros S.], Fotiadis, D.I.[Dimitrios I.],
A region based decorrelation stretching method: Application to multispectral chromosome image classification,
ICIP08(1456-1459).
IEEE DOI 0810
BibRef

Paliwal, K.K.[Kuldip K.], Sharma, A.[Alok],
Improved direct LDA and its application to DNA microarray gene expression data,
PRL(31), No. 16, December 2010, pp. 2489-2492.
Elsevier DOI 1011
Direct linear discriminant analysis; Small sample size problem; Dimensionality reduction BibRef

Sikora, M.[Marek], Gruca, A.[Aleksandra],
Induction and selection of the most interesting Gene Ontology based multiattribute rules for descriptions of gene groups,
PRL(32), No. 2, 15 January 2011, pp. 258-269.
Elsevier DOI 1101
Decision rules; Rule interestingness measures; Gene Ontology; Gene groups descriptions; Rough sets BibRef

Shamaiah, M., Lee, S.H., Vikalo, H.,
Graphical Models and Inference on Graphs in Genomics: Challenges of high-throughput data analysis,
SPMag(29), No. 1, 2012, pp. 51-65.
IEEE DOI 1112
BibRef

Matos, L.M.O.[Luís M. O.], Pratas, D.[Diogo], Pinho, A.J.[Armando J.],
Compression of Whole Genome Alignments Using a Mixture of Finite-Context Models,
ICIAR12(I: 359-366).
Springer DOI 1206
BibRef

Zeng, N., Wang, Z., Zineddin, B., Li, Y., Du, M., Xiao, L., Liu, X., Young, T.,
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach,
MedImg(33), No. 5, May 2014, pp. 1129-1136.
IEEE DOI 1405
Algorithm design and analysis BibRef

Schwartz, G.W.[Gregory W.], Shokoufandeh, A.[Ali], Ontañón, S.[Santiago], Hershberg, U.[Uri],
Using a novel clumpiness measure to unite data with metadata: Finding common sequence patterns in immune receptor germline V genes,
PRL(74), No. 1, 2016, pp. 24-29.
Elsevier DOI 1604
Hierarchical clustering BibRef

Ulfarsson, M.O., Palsson, F., Sigurdsson, J., Sveinsson, J.R.,
Classification of Big Data With Application to Imaging Genetics,
PIEEE(104), No. 11, November 2016, pp. 2137-2154.
IEEE DOI 1609
Big Data BibRef

Madian, N.[Nirmala], Jayanthi, K.B., Suresh, S.,
Analysis of human chromosome images: Application towards an automated chromosome classification,
IJIST(28), No. 4, December 2018, pp. 235-245.
WWW Link. 1811
BibRef

Somasundaram, D.[Devaraj],
Machine learning approach for homolog chromosome classification,
IJIST(29), No. 2, June 2019, pp. 161-167.
WWW Link. 1906
BibRef

Qin, Y., Wen, J., Zheng, H., Huang, X., Yang, J., Song, N., Zhu, Y., Wu, L., Yang, G.,
Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks,
MedImg(38), No. 11, November 2019, pp. 2569-2581.
IEEE DOI 1911
Biological cells, Feature extraction, Microscopy, Task analysis, Support vector machines, Training, Indexes, dispatch strategy BibRef

Arora, T.[Tanvi], Dhir, R.[Renu],
Geometric Feature-Based Classification of Segmented Human Chromosomes,
IJIG(20), No. 1 2020, pp. 2050006.
DOI Link 2002
BibRef

Altinsoy, E.[Emrecan], Yang, J.[Jie], Yilmaz, C.[Can],
Fully-automatic raw G-band chromosome image segmentation,
IET-IPR(14), No. 9, 20 July 2020, pp. 1920-1928.
DOI Link 2007
BibRef

Ou-Yang, L.[Le], Zhang, X.F.[Xiao-Fei], Yan, H.[Hong],
Sparse regularized low-rank tensor regression with applications in genomic data analysis,
PR(107), 2020, pp. 107516.
Elsevier DOI 2008
Tensor regression, Tensor decomposition, Sparse penalty BibRef

Xiao, L., Luo, C., Yu, T., Luo, Y., Wang, M., Yu, F., Li, Y., Tian, C., Qiao, J.,
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks,
MedImg(39), No. 12, December 2020, pp. 3920-3932.
IEEE DOI 2012
Biological cells, Proposals, Feature extraction, Object detection, Deep learning, Data mining, Information processing, object detection BibRef

Arora, T.[Tanvi],
Classification of Human Metaspread Images Using Convolutional Neural Networks,
IJIG(21), No. 3, July 2021, pp. 2150033.
DOI Link 2107
BibRef

Nagaya, M.[Masashi], Ukita, N.[Norimichi],
Embryo Grading With Unreliable Labels Due to Chromosome Abnormalities by Regularized PU Learning With Ranking,
MedImg(41), No. 2, February 2022, pp. 320-331.
IEEE DOI 2202
Embryo, Visualization, Medical services, Biological cells, Training data, Semisupervised learning, Noise measurement, mutual information BibRef

Pagès-Zamora, A.[Alba], Ochoa, I.[Idoia], Cavero, G.R.[Gonzalo Ruiz], Villalvilla-Ornat, P.[Pol],
Unsupervised ensemble learning for genome sequencing,
PR(129), 2022, pp. 108721.
Elsevier DOI 2206
Expectation maximization algorithm, Variant calling, Genome sequencing, GATK BibRef

Ko, W.J.[Won-Jun], Jung, W.S.[Won-Sik], Jeon, E.[Eunjin], Suk, H.I.[Heung-Il],
A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics,
MedImg(41), No. 9, September 2022, pp. 2348-2359.
IEEE DOI 2209
Genetics, Neuroimaging, Deep learning, Magnetic resonance imaging, Biomedical imaging, Diseases, Kernel, Imaging genetics, single nucleotide polymorphism BibRef

Li, W.H.[Wei-Hua], Guo, Y.[Yanbu], Wang, B.Y.[Bing-Yi], Yang, B.[Bei],
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction,
PR(136), 2023, pp. 109234.
Elsevier DOI 2301
genomic sequences. Translation initiation sites, Gated convolutional networks, Residual networks, Gated recurrent units BibRef

Jahnavi, Y.[Yeturu], Elango, P.[Poongothai], Raja, S.P., Kumar, P.N.[P. Nagendra],
A Novel Ensemble Stacking Classification of Genetic Variations Using Machine Learning Algorithms,
IJIG(23), No. 2 2023, pp. 2350015.
DOI Link 2303
BibRef

Xia, C.[Chao], Wang, J.[Jiyue], Qin, Y.[Yulei], Wen, J.[Juan], Liu, Z.J.[Zhao-Jiang], Song, N.[Ning], Wu, L.Q.[Ling-Qian], Chen, B.[Bing], Gu, Y.[Yun], Yang, J.[Jie],
KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network,
MedImg(42), No. 10, October 2023, pp. 2899-2911.
IEEE DOI 2310
BibRef

Li, J.X.[Jing-Xiong], Zheng, S.[Sunyi], Shui, Z.Y.[Zhong-Yi], Zhang, S.C.[Shi-Chuan], Yang, L.Y.[Lin-Yi], Sun, Y.X.[Yu-Xuan], Zhang, Y.L.[Yun-Long], Li, H.L.[Hong-Lin], Ye, Y.Y.X.[Yuan-Yan-Xin], van Ooijen, P.M.A.[Peter M. A.], Li, K.[Kang], Yang, L.[Lin],
Masked Conditional Variational Autoencoders for Chromosome Straightening,
MedImg(43), No. 1, January 2024, pp. 216-228.
IEEE DOI 2401
BibRef

Chavan, S.[Satishkumar], Nair, L.[Leeaa], Nimbalkar, N.[Nishant], Solkar, S.[Sarah],
Karyotyping of human chromosomes in metaphase images using faster R-CNN and inception models,
IJIST(34), No. 2, 2024, pp. e23041.
DOI Link 2402
chromosome detection, classification of chromosomes, convexity defects algorithm, Denver groups, faster R-CNN, object detection BibRef

Zhang, Z.F.[Zhi-Feng], Liu, G.[Ganghao], Cui, X.[Xiao], Kuang, J.H.[Jin-Hui], Cai, J.H.[Jing-Han], Ji, X.H.[Xiao-Hui],
Chromosome Image Denoising Based on Adaptive Wavelet Threshold,
ICIVC22(513-518)
IEEE DOI 2301
Image quality, Image edge detection, Noise reduction, Wavelet analysis, Biological cells, Image denoising, threshold function BibRef

Silva, J.M.[Jorge Miguel], Pratas, D.[Diogo], Caetano, T.[Tânia], Matos, S.[Sérgio],
Feature-Based Classification of Archaeal Sequences Using Compression-Based Methods,
IbPRIA22(309-320).
Springer DOI 2205
Archaea are single-celled organisms. BibRef

Lin, C., Zhao, G., Yin, A., Guo, L., Chen, H., Zhao, L.,
MixNet: A Better Promising Approach for Chromosome Classification based on Aggregated Residual Architecture,
CVIDL20(313-318)
IEEE DOI 2102
feature extraction, genetics, learning (artificial intelligence), medical information systems, neural nets, pattern classification, Aggregated Residual Architecture BibRef

Swati, S.[Swati], Sharma, M.[Monika], Vig, L.[Lovekesh],
Automatic Classification of Low-Resolution Chromosomal Images,
BioIm18(VI:315-325).
Springer DOI 1905
BibRef

Wu, Y., Yue, Y., Tan, X., Wang, W., Lu, T.,
End-To-End Chromosome Karyotyping with Data Augmentation Using GAN,
ICIP18(2456-2460)
IEEE DOI 1809
Biological cells, Erbium, Training, Generators, Image segmentation, Feature extraction, chromosome karyotyping, Generative Advertising Network BibRef

Swati, Gupta, G.[Gaurav], Yadav, M.[Mohit], Sharma, M.[Monika], Vig, L.[Lovekesh],
Siamese Networks for Chromosome Classification,
BioIm17(72-81)
IEEE DOI 1802
Biological cells, Crowdsourcing, Machine learning, Manuals, Standards, Training BibRef

Sharma, M., Saha, O., Sriraman, A., Hebbalaguppe, R., Vig, L., Karande, S.,
Crowdsourcing for Chromosome Segmentation and Deep Classification,
Microscopy17(786-793)
IEEE DOI 1709
Biological cells, Crowdsourcing, Image segmentation, Machine learning, Microscopy, Pipelines BibRef

Pratas, D.[Diogo], Hosseini, M.[Morteza], Silva, R.M.[Raquel M.], Pinho, A.J.[Armando J.], Ferreira, P.J.S.G.[Paulo J.S.G.],
Visualization of Distinct DNA Regions of the Modern Human Relatively to a Neanderthal Genome,
IbPRIA17(235-242).
Springer DOI 1706
BibRef

Ardanza-Trevijano, S.[Sergio], Gonzalez, G.[Georgina], Borrman, T.[Tyler], Garcia, J.L.[Juan Luis], Arsuaga, J.[Javier],
Topological Analysis of Amplicon Structure in Comparative Genomic Hybridization (CGH) Data: An Application to ERBB2/HER2/NEU Amplified Tumors,
CTIC16(113-129).
Springer DOI 1608
BibRef

Mandal, M., Maity, S., Mukhopadhyay, A.,
Partial rank aggregation using multiobjective genetic algorithm: Application in ranking genes,
ICAPR15(1-6)
IEEE DOI 1511
biology computing BibRef

Maji, P.[Pradipta], Shah, E.[Ekta], Paul, S.[Sushmita],
A New Similarity Measure for Identification of Disease Genes,
PReMI15(451-461).
Springer DOI 1511
BibRef

Cervantes, J.[Jair], Huang, D.S.[De-Shuang], Li, X.O.[Xiao-Ou], Yu, W.[Wen],
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm,
CIARP13(II:342-349).
Springer DOI 1311
BibRef

Ding, H.[Hu], Stojkovic, B.[Branislav], Berezney, R.[Ronald], Xu, J.H.[Jin-Hui],
Gauging Association Patterns of Chromosome Territories via Chromatic Median,
CVPR13(1296-1303)
IEEE DOI 1309
BibRef

Wolf, T.[Thomas], Shelest, V.[Vladimir], Shelest, E.[Ekaterina],
Motif-Based Method for the Genome-Wide Prediction of Eukaryotic Gene Clusters,
PR-PS-BB13(389-398).
Springer DOI 1309
BibRef

Amornbunchornvej, C., Limpiti, T., Assawamakin, A., Intarapanich, A., Tongsima, S.,
Iterative Neighbor-Joining tree clustering algorithm for genotypic data,
ICPR12(1827-1830).
WWW Link. 1302
BibRef

Uddin, B.[Bakhtiyar], Celebi, M.E.[M. Emre], Kingravi, H.[Hassan], Schaefer, G.[Gerald],
Accurate genomic signal recovery using compressed sensing,
ICPR12(3144-3147).
WWW Link. 1302
BibRef

Loganathan, E., Anuja, M.R., Madian, N.[Nirmala],
Automated identification of centromere position and centromere index(CI) of human chromosome images,
IMVIP12(13-16).
IEEE DOI 1302
BibRef

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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Cell Nucleus, Cell Nuclei Analysis, Detection .