21.4.4.5.1 Whole Slide Analysis, Histopahtology, Cells

Chapter Contents (Back)
Histopathology. Whole Slide. Pathology.

Sertel, O., Kong, J., Shimada, H., Catalyurek, U.V., Saltz, J.H., Gurcan, M.N.,
Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development,
PR(42), No. 6, June 2009, pp. 1093-1103.
Elsevier DOI 0902
Whole-slide histopathological image analysis; Texture analysis; Neuroblastoma BibRef

Kong, J.[Jun], Sertel, O.[Olcay], Shimada, H.[Hiroyuki], Boyer, K.L.[Kim L.], Saltz, J.[Joel], Gurcan, M.N.[Metin N.],
Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation,
PR(42), No. 6, June 2009, pp. 1080-1092.
Elsevier DOI 0902
BibRef
Earlier:
Computer-Aided Grading of Neuroblastic Differentiation: Multi-Resolution and Multi-Classifier Approach,
ICIP07(V: 525-528).
IEEE DOI 0709
Quantitative image analysis; Microscopy images; Neuroblastoma prognosis; Grade of differentiation; Multi-resolution pathological image analysis; Machine learning BibRef

Zhu, S.J.[Shu-Jin], Li, Y.H.[Yue-Hua], Kalra, S.[Shivam], Tizhoosh, H.R.,
Multiple disjoint dictionaries for representation of histopathology images,
JVCIR(55), 2018, pp. 243-252.
Elsevier DOI 1809
Image retrieval, Image representation, Histopathology, Wholeslide imaging, Bag-of-words, Dictionary learning, LBP, SVM, Deep learning BibRef

Adu, K.[Kwabena], Yu, Y.B.[Yong-Bin], Cai, J.Y.[Jing-Ye], Owusu-Agyemang, K.[Kwabena], Twumasi, B.A.[Baidenger Agyekum], Wang, X.X.[Xiang-Xiang],
DHS-CapsNet: Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images,
IJIST(31), No. 4, 2021, pp. 2075-2092.
DOI Link 2112
artificial intelligence, capsule network, colon cancer, convolutional neural network, histopathological images, lung cancer BibRef

Xiang, T.[Tiange], Song, Y.[Yang], Zhang, C.Y.[Chao-Yi], Liu, D.[Dongnan], Chen, M.[Mei], Zhang, F.[Fan], Huang, H.[Heng], O'Donnell, L.[Lauren], Cai, W.D.[Wei-Dong],
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis,
MedImg(41), No. 8, August 2022, pp. 2180-2190.
IEEE DOI 2208
Visualization, Encoding, Annotations, Redundancy, Pathology, Metastasis, Image analysis, Weakly-supervised training, whole slide images BibRef

Zheng, Y.[Yi], Gindra, R.H.[Rushin H.], Green, E.J.[Emily J.], Burks, E.J.[Eric J.], Betke, M.[Margrit], Beane, J.E.[Jennifer E.], Kolachalama, V.B.[Vijaya B.],
A Graph-Transformer for Whole Slide Image Classification,
MedImg(41), No. 11, November 2022, pp. 3003-3015.
IEEE DOI 2211
Pathology, Feature extraction, Transformers, Tumors, Deep learning, Training, Lung, Digital pathology, graph convolutional network, lung cancer BibRef

Wang, Z.Z.[Zhen-Zhen], Saoud, C.[Carla], Wangsiricharoen, S.[Sintawat], James, A.W.[Aaron W.], Popel, A.S.[Aleksander S.], Sulam, J.[Jeremias],
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images,
MedImg(41), No. 12, December 2022, pp. 3952-3968.
IEEE DOI 2212
Annotations, Cancer, Pathology, Training, Tumors, Refining, Predictive models, Whole-slide image segmentation, label cleaning BibRef

Jiang, Y.H.[Ying-Hai], Cui, R.[Rongsheng], Liu, F.[Feng],
Multi-resolutional human visual perception optimized pathology image progressive coding based on JPEG2000,
SP:IC(115), 2023, pp. 116960.
Elsevier DOI 2306
Image coding, Multi-resolution, JPEG2000, Perception-based image quality, Visibility threshold, Whole-slide pathology image BibRef

Yu, J.G.[Jin-Gang], Wu, Z.[Zihao], Ming, Y.[Yu], Deng, S.[Shule], Wu, Q.H.[Qi-Hang], Xiong, Z.T.[Zhong-Tang], Yu, T.Y.[Tian-You], Xia, G.S.[Gui-Song], Jiang, Q.P.[Qing-Ping], Li, Y.Q.[Yuan-Qing],
Bayesian Collaborative Learning for Whole-Slide Image Classification,
MedImg(42), No. 6, June 2023, pp. 1809-1821.
IEEE DOI 2306
Federated learning, Bayes methods, Pathology, Training, Probabilistic logic, Task analysis, Graphics processing units, multiple instance learning (MIL) BibRef

Zheng, Y.S.[Yu-Shan], Li, J.[Jun], Shi, J.[Jun], Xie, F.Y.[Feng-Ying], Huai, J.G.[Jian-Guo], Cao, M.[Ming], Jiang, Z.G.[Zhi-Guo],
Kernel Attention Transformer for Histopathology Whole Slide Image Analysis and Assistant Cancer Diagnosis,
MedImg(42), No. 9, September 2023, pp. 2726-2739.
IEEE DOI 2310
BibRef

Wang, Z.[Zhao], Feng, Q.Y.[Qian-Yu], Corredor, G.[Germán], Koyuncu, C.[Can], Lu, C.[Cheng],
Measuring dense false positive regions from segmentation result for whole slide tissue histology image,
JVCIR(96), 2023, pp. 103929.
Elsevier DOI 2310
Image segmentation, Evaluation metric, Histology image BibRef

Wang, Z.H.[Zhi-Hua], Yu, L.[Lequan], Ding, X.[Xin], Liao, X.H.[Xue-Hong], Wang, L.S.[Lian-Sheng],
Shared-Specific Feature Learning With Bottleneck Fusion Transformer for Multi-Modal Whole Slide Image Analysis,
MedImg(42), No. 11, November 2023, pp. 3374-3383.
IEEE DOI 2311
BibRef

Morales-Álvarez, P.[Pablo], Schmidt, A.[Arne], Hernández-Lobato, J.M.[José Miguel], Molina, R.[Rafael],
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images,
PR(146), 2024, pp. 110057.
Elsevier DOI 2311
Multiple instance learning, Gaussian processes, Ising model, Variational inference, Whole slide images, Histopathology BibRef

Shi, J.B.[Jiang-Bo], Tang, L.[Lufei], Gao, Z.[Zeyu], Li, Y.[Yang], Wang, C.B.[Chun-Bao], Gong, T.[Tieliang], Li, C.[Chen], Fu, H.Z.[Hua-Zhu],
MG-Trans: Multi-Scale Graph Transformer With Information Bottleneck for Whole Slide Image Classification,
MedImg(42), No. 12, December 2023, pp. 3871-3883.
IEEE DOI 2312
BibRef

Liu, P.[Pei], Ji, L.P.[Lu-Ping], Zhang, X.Y.[Xin-Yu], Ye, F.[Feng],
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification,
MedImg(43), No. 5, May 2024, pp. 1841-1852.
IEEE DOI Code:
WWW Link. 2405
Training, Data models, Data augmentation, Interpolation, Semantics, Robustness, Pathology, Computational pathology, data augmentation, whole slide image classification BibRef

Ding, W.L.[Wei-Long], Liao, W.Y.[Wan-Yin], Zhu, X.J.[Xiao-Jie], Zhu, H.B.[Hong-Bo],
A novel automatic annotation method for whole slide pathological images combined clustering and edge detection technique,
IET-IPR(18), No. 6, 2024, pp. 1516-1529.
DOI Link 2405
convolutional neural nets, feature extraction, image annotation, medical image processing BibRef


Harb, R.[Robert], Pock, T.[Thomas], Müller, H.[Heimo],
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale,
WACV24(5119-5128)
IEEE DOI 2404
Training, Pathology, Data privacy, Image resolution, Image synthesis, Annotations, Algorithms, Generative models for image, video, 3D, etc., Biomedical / healthcare / medicine BibRef

Raswa, F.H.[Farchan Hakim], Lu, C.S.[Chun-Shien], Wang, J.C.[Jia-Ching],
Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning,
WACV24(7609-7618)
IEEE DOI 2404
Training, Pairwise error probability, Image resolution, Semantics, Memory management, Prototypes, Transformers, Applications, and algorithms BibRef

Clark, S.[Samuel], Green, R.[Richard],
Segmentation of Tissue Regions in Whole Slide Images Using Hand-Crafted Image Features,
IVCNZ23(1-6)
IEEE DOI 2403
Image segmentation, Pathology, Machine learning algorithms, Classification algorithms, Reliability, Standards, Random forests, Texture descriptors BibRef

Fang, K.[Kun], Jia, J.J.[Jing-Jing],
A whole-slide pathology segmentation framework for the diagnosis of non-small cell lung cancer,
CVIDL23(310-313)
IEEE DOI 2403
Deep learning, Training, Image segmentation, Pathology, Statistical analysis, Biopsy, Lung cancer, Whole slide image, Image classification BibRef

Qu, L.H.[Lin-Hao], Yang, Z.W.[Zhi-Wei], Duan, M.H.[Ming-Hong], Ma, Y.F.[Ying-Fan], Wang, S.[Shuo], Wang, M.[Manning], Song, Z.J.[Zhi-Jian],
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification,
ICCV23(21406-21416)
IEEE DOI Code:
WWW Link. 2401
BibRef

Shao, Z.C.[Zhu-Chen], Wang, Y.F.[Yi-Feng], Chen, Y.[Yang], Bian, H.[Hao], Liu, S.H.[Shao-Hui], Wang, H.Q.[Hao-Qian], Zhang, Y.B.[Yong-Bing],
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image,
ICCV23(21438-21438)
IEEE DOI 2401
BibRef

Tang, W.H.[Wen-Hao], Huang, S.[Sheng], Zhang, X.X.[Xiao-Xian], Zhou, F.T.[Feng-Tao], Zhang, Y.[Yi], Liu, B.[Bo],
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification,
ICCV23(4055-4064)
IEEE DOI Code:
WWW Link. 2401
BibRef

Huang, Y.Y.[Yan-Yan], Zhao, W.Q.[Wei-Qin], Wang, S.J.[Shu-Jun], Fu, Y.[Yu], Jiang, Y.M.[Yu-Ming], Yu, L.[Lequan],
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis,
ICCV23(21292-21303)
IEEE DOI 2401
BibRef

Chan, T.H.[Tsai Hor], Cendra, F.J.[Fernando Julio], Ma, L.[Lan], Yin, G.S.[Guo-Sheng], Yu, L.[Lequan],
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning,
CVPR23(15661-15670)
IEEE DOI 2309
BibRef

Lin, T.C.[Tian-Cheng], Yu, Z.M.[Zhi-Miao], Hu, H.Y.[Hong-Yu], Xu, Y.[Yi], Chen, C.W.[Chang Wen],
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images,
CVPR23(19830-19839)
IEEE DOI 2309
BibRef

Chen, Y.C.[Yuan-Chih], Lu, C.S.[Chun-Shien],
RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images with Diverse Sizes and Imbalanced Categories,
CVPR23(23936-23945)
IEEE DOI 2309
BibRef

Li, H.L.[Hong-Lin], Zhu, C.L.[Cheng-Lu], Zhang, Y.L.[Yun-Long], Sun, Y.X.[Yu-Xuan], Shui, Z.Y.[Zhong-Yi], Kuang, W.W.[Wen-Wei], Zheng, S.[Sunyi], Yang, L.[Lin],
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification,
CVPR23(7454-7463)
IEEE DOI 2309
BibRef

Launet, L.[Laëtitia], Colomer, A.[Adrián], Mosquera-Zamudio, A.[Andrés], Moscardó, A.[Anaďs], Monteagudo, C.[Carlos], Naranjo, V.[Valery],
A Self-Training Weakly-Supervised Framework for Pathologist-Like Histopathological Image Analysis,
ICIP22(3401-3405)
IEEE DOI 2211
Training, Pathology, Image analysis, Annotations, Biological system modeling, Data models, Skin, self-training, whole slide images BibRef

Alhammad, S.[Sarah], Zhao, K.[Kun], Jennings, A.[Anthony], Hobson, P.[Peter], Smith, D.F.[Daniel F.], Baker, B.[Brett], Staweno, J.[Justin], Lovell, B.C.[Brian C.],
Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology,
DICTA21(01-08)
IEEE DOI 2201
Training, Deep learning, Pathology, Microorganisms, Protocols, Oils, Microscopy, Bacteria Classification, DNN, Computer Aided Diagnosis, Digital Pathology BibRef

Weitz, P.[Philippe], Wang, Y.[Yinxi], Hartman, J.[Johan], Rantalainen, M.[Mattias],
An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives,
CDPath21(611-619)
IEEE DOI 2112
Analytical models, Histopathology, Computational modeling, Focusing, Predictive models BibRef

Chan, L., Hosseini, M., Rowsell, C., Plataniotis, K., Damaskinos, S.,
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images,
ICCV19(10661-10670)
IEEE DOI 2004
biological tissues, convolutional neural nets, image segmentation, medical image processing, random processes, Cams BibRef

Stanisavljevic, M.[Milos], Anghel, A.[Andreea], Papandreou, N.[Nikolaos], Andani, S.[Sonali], Pati, P.[Pushpak], Rüschoff, J.H.[Jan Hendrik], Wild, P.[Peter], Gabrani, M.[Maria], Pozidis, H.[Haralampos],
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology,
BioIm18(VI:424-436).
Springer DOI 1905
BibRef

Gadermayr, M.[Michael], Strauch, M.[Martin], Klinkhammer, B.M.[Barbara Mara], Djudjaj, S.[Sonja], Boor, P.[Peter], Merhof, D.[Dorit],
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images,
ICIAR16(616-622).
Springer DOI 1608
BibRef

Toutain, M., Lézoray, O., Audigié, F., Busoni, V., Rossi, G., Parillo, F., El Moataz, A.,
Analysis of Whole Slide Images of Equine Tendinopathy,
ICIAR12(II: 440-447).
Springer DOI 1206
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Fluorescence Analysis, Microscopic Analysis, Cells .


Last update:May 6, 2024 at 15:50:14