20.14.2.1 Medical Applications -- Colonoscopy, Polyp Detection, Analysis

Chapter Contents (Back)
Colonoscopy. Polyp. Medical, Applications.

Gokturk, S.B., Tomasi, C., Acar, B., Beaulieu, C.F., Paik, D.S., Jeffrey, R.B., Yee, J., Napel, S.,
A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography,
MedImg(20), No. 12, December 2001, pp. 1251-1260.
IEEE Top Reference. 0201
BibRef

Acar, B., Beaulieu, C.F., Gokturk, S.B., Tomasi, C., Paik, D.S., Jeffrey, R.B., Yee, J., Napel, S.,
Edge displacement field-based classification for improved detection of polyps in CT colonography,
MedImg(21), No. 12, December 2002, pp. 1461-1467.
IEEE Top Reference. 0301
BibRef

Yoshida, H., Nappi, J.,
Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps,
MedImg(20), No. 12, December 2001, pp. 1261-1274.
IEEE Top Reference. 0201
BibRef

Yao, J.H., Miller, M., Franaszek, M., Summers, R.M.,
Colonic Polyp Segmentation in CT Colonography-Based on Fuzzy Clustering and Deformable Models,
MedImg(23), No. 11, November 2004, pp. 1344-1352.
IEEE Abstract. 0411
BibRef

Konukoglu, E., Acar, B., Paik, D.S., Beaulieu, C.F., Rosenberg, J., Napel, S.,
Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study,
MedImg(26), No. 12, December 2007, pp. 1649-1656.
IEEE DOI 0712
BibRef

Hafner, M.[Michael], Kwitt, R.[Roland], Uhl, A.[Andreas], Wrba, F.[Friedrich], Gangl, A.[Alfred], Vecsei, A.[Andreas],
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps,
PR(42), No. 6, June 2009, pp. 1180-1191.
Elsevier DOI 0902
Computer-assisted pit-pattern classification; Wavelet transformation; Colorectal cancer; Color-texture analysis BibRef

Kwitt, R.[Roland], Uhl, A.[Andreas], Hafner, M.[Michael], Gangl, A.[Alfred], Wrba, F.[Friedrich], Vecsei, A.[Andreas],
Predicting the histology of colorectal lesions in a probabilistic framework,
MMBIA10(103-110).
IEEE DOI 1006
BibRef

Häfner, M., Gangl, A., Liedlgruber, M., Uhl, A.[Andreas], Vécsei, A., Wrba, F.,
Endoscopic Image Classification Using Edge-Based Features,
ICPR10(2724-2727).
IEEE DOI 1008
BibRef
And:
Classification of Endoscopic Images Using Delaunay Triangulation-Based Edge Features,
ICIAR10(II: 131-140).
Springer DOI 1006
BibRef

Uhl, A.[Andreas], Vécsei, A.[Andreas], Wimmer, G.[Georg],
Complex Wavelet Transform Variants in a Scale Invariant Classification of Celiac Disease,
IbPRIA11(742-749).
Springer DOI 1106
BibRef

Yao, J.H.[Jian-Hua], Li, J.[Jiang], Summers, R.M.[Ronald M.],
Employing topographical height map in colonic polyp measurement and false positive reduction,
PR(42), No. 6, June 2009, pp. 1029-1040.
Elsevier DOI 0902
CAD; Colonic polyps; Topographical height map; Range image BibRef

van Ravesteijn, V.F., van Wijk, C., Vos, F.M., Truyen, R., Peters, J.F., Stoker, J., van Vliet, L.J.,
Computer-Aided Detection of Polyps in CT Colonography Using Logistic Regression,
MedImg(29), No. 1, January 2010, pp. 120-131.
IEEE DOI 1001
BibRef

van Wijk, C., van Ravesteijn, V.F.[Vincent F.], Vos, F.M.[Frans M.], van Vliet, L.J.[Lucas J.],
Detection and Segmentation of Colonic Polyps on Implicit Isosurfaces by Second Principal Curvature Flow,
MedImg(29), No. 3, March 2010, pp. 688-698.
IEEE DOI 1003
BibRef

van Ravesteijn, V.F.[Vincent F.], Vos, F.M.[Frans M.], van Vliet, L.J.[Lucas J.],
Recognition of Protruding Objects in Highly Structured Surroundings by Structural Inference,
SCIA09(41-50).
Springer DOI 0906
BibRef

van Ravesteijn, V.F., Vos, F.M., Serlie, I.W.O., Truyen, R., van Vliet, L.J.,
Thin layer tissue classification for electronic cleansing of CT colonography data,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Chowdhury, A.S.[Ananda S.], Tan, S.[Sovira], Yao, J.H.[Jian-Hua], Summers, R.M.[Ronald M.],
Colonic fold detection from computed tomographic colonography images using diffusion-FCM and level sets,
PRL(31), No. 9, 1 July 2010, pp. 876-883.
Elsevier DOI 1004
Heat diffusion; Fuzzy c-means; Level sets; Shape index; Computed tomographic colonography BibRef

Wei, Z.S.[Zhuo-Shi], Yao, J.H.[Jian-Hua], Wang, S.J.[Shi-Jun], Summers, R.M.[Ronald M.],
Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images,
VirtualColon10(98-104).
Springer DOI 1112
BibRef

Chowdhury, A.S., Yao, J.H.[Jian-Hua], van Uitert, R.L., Linguraru, M.G., Summers, R.M.[Ronald M.],
Detection of anatomical landmarks in human colon from computed tomographic colonography images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Lamy, J.[Julien], Summers, R.M.[Ronald M.],
Teniæ Coli Detection from Colon Surface: Extraction of Anatomical Markers for Virtual Colonoscopy,
ISVC07(I: 199-207).
Springer DOI 0711
BibRef

Yao, J.H.[Jian-Hua], Li, J.[Jiang], Summers, R.M.[Ronald M.],
CT Colonography Computer-Aided Polyp Detection using Topographical Height Map,
ICIP07(V: 21-24).
IEEE DOI 0709
BibRef

Wang, S.J.[Shi-Jun], Yao, J.H.[Jian-Hua], Summers, R.M.[Ronald M.],
Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Huang, A.[Adam], Li, J.[Jiang], Summers, R.M.[Ronald M.], Petrick, N.[Nicholas], Hara, A.K.[Amy K.],
Improving polyp detection algorithms for CT colonography: Pareto front approach,
PRL(31), No. 11, 1 August 2010, pp. 1461-1469.
Elsevier DOI 1008
Pareto front; Computer-aided detection; Polyp detection; CT colonography; Virtual colonoscopy BibRef

Suzuki, K.[Kenji], Zhang, J., Xu, J.W.[Jian-Wu],
Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography,
MedImg(29), No. 11, November 2010, pp. 1907-1917.
IEEE DOI 1011
BibRef

Xu, J.W.[Jian-Wu], Suzuki, K.[Kenji],
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques,
MLMI11(360-367).
Springer DOI 1109
BibRef
Earlier:
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach,
VirtualColon10(47-52).
Springer DOI 1112
BibRef

Suzuki, K.[Kenji],
Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography,
VirtualColon10(32-39).
Springer DOI 1112
BibRef

Ong, J.L.[Ju Lynn], Seghouane, A.K.[Abd-Krim],
Feature selection using mutual information in CT colonography,
PRL(32), No. 2, 15 January 2011, pp. 337-341.
Elsevier DOI 1101
BibRef
Earlier: A2, A1:
Efficient feature selection for polyp detection,
ICIP10(2285-2288).
IEEE DOI 1009
Feature selection; Computed tomography; Support vector classifier; Mutual information BibRef

Ong, J.L.[Ju Lynn], Seghouane, A.K.[Abd-Krim],
From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods,
IP(20), No. 4, April 2011, pp. 1000-1010.
IEEE DOI 1103
BibRef
Earlier: A2, A1:
Geodesic-ring based curvature maps for polyp detection in CT colonography,
ICIP10(1421-1424).
IEEE DOI 1009
BibRef

Ong, J.L.[Ju Lynn], Seghouane, A.K., Osborn, K.,
Mean Shape Models for Polyp Detection in CT Colonography,
DICTA08(287-293).
IEEE DOI 0812
BibRef

Bernal, J., Sánchez, J., Vilariño, F.,
Towards automatic polyp detection with a polyp appearance model,
PR(45), No. 9, September 2012, pp. 3166-3182.
Elsevier DOI 1206
Colonoscopy; Polyp detection; Region segmentation; SA-DOVA descriptor BibRef

Vazquez, E.[Eduard], Yang, X.Y.[Xiao-Yun], Slabaugh, G.G.[Greg G.],
Erosion band signatures for spatial extraction of features,
MVA(24), No. 4, May 2013, pp. 695-705.
Springer DOI 1304
spatial coherence of features extracted from a region. Apply to polyp detection and head tracking. BibRef

Yang, X.Y.[Xiao-Yun], Beddoe, G.[Gareth], Slabaugh, G.G.[Greg G.],
Learning to Detect 3D Rectal Tubes in CT Colonography Using a Global Shape Model,
VirtualColon10(53-59).
Springer DOI 1112
BibRef

Boyes, R.[Richard], Slabaugh, G.G.[Greg G.], Beddoe, G.[Gareth],
Fast pseudo-enhancement correction in CT colonography using linear shift-invariant filters,
ICIP09(2509-2512).
IEEE DOI 0911
BibRef

Ye, X.J.[Xu-Jiong], Beddoe, G.[Gareth], Slabaugh, G.G.[Greg G.],
A Bayesian Approach for False Positive Reduction in CTC CAD,
VirtualColon10(40-46).
Springer DOI 1112
BibRef

Boyes, R.[Richard], Ye, X.J.[Xu-Jiong], Beddoe, G.[Gareth], Slabaugh, G.G.[Greg G.],
Sparse Parallel Electronic Bowel Cleansing in CT Colonography,
3DPVT10(xx-yy).
WWW Link. 1005
BibRef

Mamonov, A.V., Figueiredo, I.N., Figueiredo, P.N., Tsai, Y.H.R.[Y.H. Richard],
Automated Polyp Detection in Colon Capsule Endoscopy,
MedImg(33), No. 7, July 2014, pp. 1488-1502.
IEEE DOI 1407
Biological tissues BibRef

Bernal, J.[Jorge],
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Bernal, J.[Jorge], Sánchez, J.[Javier], Vilariño, F.[Fernando],
A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance,
IbPRIA11(134-142).
Springer DOI 1106
BibRef

Bae, S.H.[Seung-Hwan], Yoon, K.J.[Kuk-Jin],
Polyp Detection via Imbalanced Learning and Discriminative Feature Learning,
MedImg(34), No. 11, November 2015, pp. 2379-2393.
IEEE DOI 1511
Detectors BibRef

Tajbakhsh, N., Gurudu, S.R., Liang, J.,
Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information,
MedImg(35), No. 2, February 2016, pp. 630-644.
IEEE DOI 1602
Cancer BibRef

Roth, H.R., Lu, L., Liu, J., Yao, J., Seff, A., Cherry, K., Kim, L., Summers, R.M.,
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation,
MedImg(35), No. 5, May 2016, pp. 1170-1181.
IEEE DOI 1605
Colonic polyps BibRef

Hu, Y., Liang, Z., Song, B., Han, H., Pickhardt, P.J., Zhu, W., Duan, C., Zhang, H., Barish, M.A., Lascarides, C.E.,
Texture Feature Extraction and Analysis for Polyp Differentiation via Computed Tomography Colonography,
MedImg(35), No. 6, June 2016, pp. 1522-1531.
IEEE DOI 1606
Cancer BibRef

Bernal, J., Tajkbaksh, N., Sánchez, F.J., Matuszewski, B.J., Chen, H., Yu, L., Angermann, Q., Romain, O., Rustad, B., Balasingham, I., Pogorelov, K., Choi, S., Debard, Q., Maier-Hein, L., Speidel, S., Stoyanov, D., Brandao, P., Córdova, H., Sánchez-Montes, C., Gurudu, S.R., Fernández-Esparrach, G., Dray, X., Liang, J., Histace, A.,
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge,
MedImg(36), No. 6, June 2017, pp. 1231-1249.
IEEE DOI 1706
Biomedical imaging, Cancer, Colon, Colonoscopy, Databases, Endoscopes, Lesions, Endoscopic vision, handcrafted features, machine learning, polyp detection, validation, framework BibRef

Zhang, R.[Ruikai], Zheng, Y.[Yali], Poon, C.C.Y.[Carmen C.Y.], Shen, D.G.[Ding-Gang], Lau, J.Y.W.[James Y.W.],
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker,
PR(83), 2018, pp. 209-219.
Elsevier DOI 1808
Smart cancer screening, Therapeutic endoscopy, Endoscopic Informatics, Body Sensor Network, Deep Learning, Health Informatics BibRef

Jia, X., Xing, X., Yuan, Y., Xing, L., Meng, M.Q.,
Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition,
PIEEE(108), No. 1, January 2020, pp. 178-197.
IEEE DOI 2001
Cancer, Endoscopes, Deep learning, Machine learning, Medical treatment, Biomedical imaging, Cancer screening, wireless capsule endoscopy (WCE) BibRef

Mostafiz, R.[Rafid], Hasan, M.[Mosaddik], Hossain, I.[Imran], Rahman, M.M.[Mohammad M.],
An intelligent system for gastrointestinal polyp detection in endoscopic video using fusion of bidimensional empirical mode decomposition and convolutional neural network features,
IJIST(30), No. 1, 2020, pp. 224-233.
DOI Link 2002
CEMD features, convolutional neural network (CNN), empirical mode decomposition, support vector machine (SVM), video endoscopy BibRef

Tan, J., Gao, Y., Liang, Z., Cao, W., Pomeroy, M.J., Huo, Y., Li, L., Barish, M.A., Abbasi, A.F., Pickhardt, P.J.,
3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography,
MedImg(39), No. 6, June 2020, pp. 2013-2024.
IEEE DOI 2006
Polyp differentiation, image features, deep learning, GLCM, CT colonoscopy BibRef

Haj-Manouchehri, A.[Azadeh], Mohammadi, H.M.[Hossein Mahvash],
Polyp detection using CNNs in colonoscopy video,
IET-CV(14), No. 5, August 2020, pp. 241-247.
DOI Link 2007
BibRef

Kaçmaz, R.N.[Rukiye Nur], Yilmaz, B.[Bülent], Aydin, Z.[Zafer],
Effect of interpolation on specular reflections in texture-based automatic colonic polyp detection,
IJIST(31), No. 1, 2021, pp. 327-335.
DOI Link 2102
classification, colon polyp, image processing, machine learning, specular reflection BibRef

Guo, X., Yang, C., Liu, Y., Yuan, Y.,
Learn to Threshold: ThresholdNet With Confidence-Guided Manifold Mixup for Polyp Segmentation,
MedImg(40), No. 4, April 2021, pp. 1134-1146.
IEEE DOI 2104
Image segmentation, Training, Cancer, Feature extraction, Manifolds, Deep learning, Task analysis, Polyp segmentation, TMSG module BibRef

Afify, H.M.[Heba M.], Mohammed, K.K.[Kamel K.], Hassanien, A.E.[Aboul Ella],
An improved framework for polyp image segmentation based on SegNet architecture,
IJIST(31), No. 3, 2021, pp. 1741-1751.
DOI Link 2108
convolutional neural network, Kvasir-SEG database, polyp image segmentation, SegNet, VGG-16 network, VGG-19 network BibRef

Ghosh, S.K.[Swarup Kr], Ghosh, A.[Anupam],
A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization,
IJIST(31), No. 3, 2021, pp. 1486-1502.
DOI Link 2108
colonography, contrast enhancement, fuzzy soft set, intuitionistic fuzzy set, polyps localization BibRef


Patel, K.[Krushi], Bur, A.M.[Andrés M.], Wang, G.H.[Guang-Hui],
Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation,
CRV21(181-188)
IEEE DOI 2108
Image segmentation, Shape, Image color analysis, Semantics, Colonoscopy, Decoding, Task analysis, Polyp segmentation, U-Net BibRef

Tomar, N.K.[Nikhil Kumar], Jha, D.[Debesh], Ali, S.[Sharib], Johansen, H.D.[Håvard D.], Johansen, D.[Dag], Riegler, M.A.[Michael A.], Halvorsen, P.[Pål],
Ddanet: Dual Decoder Attention Network for Automatic Polyp Segmentation,
EndoTect20(307-314).
Springer DOI 2103
BibRef

Galdran, A.[Adrian], Carneiro, G.[Gustavo], Ballester, M.A.G.[Miguel A. González],
Double Encoder-decoder Networks for Gastrointestinal Polyp Segmentation,
AIHA20(293-307).
Springer DOI 2103
BibRef

Mulliqi, N., Yildirim, S., Mohammed, A., Ahmedi, L., Wang, H., Elezaj, O., Hovde, Ø.,
The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection,
ICIP20(380-384)
IEEE DOI 2011
Image segmentation, Computer architecture, Colonoscopy, Cancer, Indexes, Colon, Feature extraction, Colorectal polyps, U-Net++ BibRef

Jha, D.[Debesh], Smedsrud, P.H.[Pia H.], Riegler, M.A.[Michael A.], Halvorsen, P.[Pål], de Lange, T.[Thomas], Johansen, D.[Dag], Johansen, H.D.[Håvard D.],
Kvasir-seg: A Segmented Polyp Dataset,
MMMod20(II:451-462).
Springer DOI 2003
BibRef

van Grinsven, M.C.A., Scheeve, T., Schreuder, R., van der Sommen, F., Schoon, E.J., de With, P.H.N.,
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models,
ICIP19(210-214)
IEEE DOI 1910
Colorectal polyps, quantitative features, computer-aided diagnosis, SVM, gastroenterology BibRef

Mo, X., Tao, K., Wang, Q., Wang, G.,
An Efficient Approach for Polyps Detection in Endoscopic Videos Based on Faster R-CNN,
ICPR18(3929-3934)
IEEE DOI 1812
Proposals, Videos, Training, Cancer, Head, Detectors BibRef

Souaidi, M., Charfi, S., Abdelouahad, A.A., El Ansari, M.,
New features for wireless capsule endoscopy polyp detection,
ISCV18(1-6)
IEEE DOI 1807
Gabor filters, curvelet transforms, discrete wavelet transforms, diseases, endoscopes, feature extraction, medical image processing, wireless capsule endoscopy (WCE) BibRef

Taha, B., Dias, J., Werghi, N.,
Convolutional neural networkasa feature extractor for automatic polyp detection,
ICIP17(2060-2064)
IEEE DOI 1803
Cancer, Computer architecture, Convolution, Databases, Feature extraction, Support vector machines, Training, feature extractor BibRef

Wichakam, I.[Itsara], Panboonyuen, T.[Teerapong], Udomcharoenchaikit, C.[Can], Vateekul, P.[Peerapon],
Real-Time Polyps Segmentation for Colonoscopy Video Frames Using Compressed Fully Convolutional Network,
MMMod18(I:393-404).
Springer DOI 1802
BibRef

Angermann, Q.[Quentin], Bernal, J.[Jorge], Sánchez-Montes, C.[Cristina], Hammami, M.[Maroua], Fernández-Esparrach, G.[Gloria], Dray, X.[Xavier], Romain, O.[Olivier], Sánchez, F.J.[F. Javier], Histace, A.[Aymeric],
Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis,
CARE17(29-41).
Springer DOI 1711
BibRef

Korbar, B., Olofson, A.M., Miraflor, A.P., Nicka, C.M., Suriawinata, M.A., Torresani, L., Suriawinata, A.A., Hassanpour, S.,
Looking Under the Hood: Deep Neural Network Visualization to Interpret Whole-Slide Image Analysis Outcomes for Colorectal Polyps,
Microscopy17(821-827)
IEEE DOI 1709
Agriculture, Backpropagation, Cancer, Computer architecture, Neural networks, Training, Visualization BibRef

Ribeiro, E.[Eduardo], Uhl, A.[Andreas], Wimmer, G.[Georg], Häfner, M.[Michael],
Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features,
CARE16(1-13).
Springer DOI 1703
BibRef

Wimmer, G.[Georg], Gadermayr, M.[Michael], Kwitt, R.[Roland], Häfner, M.[Michael], Merhof, D.[Dorit], Uhl, A.[Andreas],
Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps,
CARE16(59-71).
Springer DOI 1703
BibRef

Gil, D.[Debora], Sánchez, F.J.[F. Javier], Fernández-Esparrach, G.[Gloria], Bernal, J.[Jorge],
3D Stable Spatio-Temporal Polyp Localization in Colonoscopy Videos,
CARE15(140-152).
WWW Link. 1605
BibRef

Wimmer, G., Uhl, A., Häfner, M.[Michael],
A novel filterbank especially designed for the classification of colonic polyps,
ICPR16(2150-2155)
IEEE DOI 1705
BibRef
Earlier: A2, A1, A3:
Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy,
ICIP14(2299-2303)
IEEE DOI 1502
Colonic polyps, Databases, Endoscopes, Feature extraction, Gaussian distribution, Histograms. Colon BibRef

Hafner, M., Liedlgruber, M., Uhl, A.[Andreas], Wimmer, G.,
Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification,
ICPR14(2739-2744)
IEEE DOI 1412
Endoscopes BibRef

Fiori, M.[Marcelo], Musé, P.[Pablo], Sapiro, G.[Guillermo],
Polyps Flagging in Virtual Colonoscopy,
CIARP13(II:181-189).
Springer DOI 1311
BibRef

Xu, H.Y.[Hai-Yong], Gage, H.D.[H. Donald], Santago, P.[Pete], Ge, Y.R.[Yao-Rong],
Colorectal Polyp Segmentation Based on Geodesic Active Contours with a Shape-Prior Model,
VirtualColon10(134-140).
Springer DOI 1112
BibRef

Tsuda, S.[Seiya], Iwahori, Y.[Yuji], Hanai, Y.[Yuki], Woodham, R.J.[Robert J.], Bhuyan, M.K., Kasugai, K.[Kunio],
Recovering size and shape of polyp from endoscope image by RBF-NN modification,
ICIP15(4684-4688)
IEEE DOI 1512
Endoscope Image; RBF-NN; Regression Analysis; Size and Shape; VBW Model BibRef

Häfner, M.[Michael], Uhl, A.[Andreas], Wimmer, G.[Georg],
A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy,
MCV13(205-213).
Springer DOI 1405
BibRef

Condessa, F.[Filipe], Bioucas-Dias, J.[José],
Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation,
ICIAR12(II: 188-197).
Springer DOI 1206
BibRef

Park, M.[Mira], Jin, J.S.[Jesse S.], Summons, P.[Peter], Luo, S.[Suhuai], Hofstetter, R.[Robert],
False Positive Reduction in Colonic Polyp Detection Using Glocal Information,
DICTA10(15-21).
IEEE DOI 1012
BibRef

Chang, K.W.[Kevin W.], Liu, J.[Jiamin], Yao, J.H.[Jian-Hua], Summers, R.M.[Ronald M.],
Improved method for predicting polyp location from CT colonography for optical colonoscopy,
ICIP10(4365-4368).
IEEE DOI 1009
BibRef

Chen, D.Q.[Dong-Qing], Farag, A.A.[Aly A.], Falk, R.L.[Robert L.], Dryden, G.W.[Gerald W.],
A variational framework for 3D colonic polyp visualization in virtual colonoscopy,
ICIP09(2617-2620).
IEEE DOI 0911
BibRef

Park, M., Jesse, J.S., Hofstetter, R., Luo, S., Summons, P.,
Classification of colonic polyps using Hidden Markov Models,
IVCNZ08(1-8).
IEEE DOI 0811
BibRef

Chen, D.Q.[Dong-Qing], Farag, A.A.[Aly A.], Falk, R.L.[Robert L.], Dryden, G.W.[Gerald W.],
Gaussian curvature flowmodel for colonic polyp detection in CT colonography,
ICIP08(2988-2991).
IEEE DOI 0810
BibRef

Shahbazi, M.[Mozhdeh], Sattari, F.M.[F. Mehran], Ghazi, M.[Mojtaba],
Automatic Polyp Detection from CT Colonography Using Mathematical Morphology,
ISPRS08(B5: 823 ff).
PDF File. 0807
BibRef

Lu, L.[Le], Barbu, A.[Adrian], Wolf, M.[Matthias], Liang, J.M.[Jian-Ming], Salganicoff, M.[Marcos], Comaniciu, D.[Dorin],
Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Tu, Z.W.[Zhuo-Wen], Zhou, X.S.[Xiang Sean], Bogoni, L.[Luca], Barbu, A.[Adrian], Comaniciu, D.[Dorin],
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment,
CVPR06(II: 1544-1551).
IEEE DOI 0606
BibRef

Chen, D.Q.[Dong-Qing], Farag, A.A.[Aly A.], Hassouna, M.S.[M. Sabry], Falk, R.[Robert], Dryden, G.W.[Gerald W.],
Geometric Features Based Framework for Colonic Polyp Detection using a New Color Coding Scheme,
ICIP07(V: 17-20).
IEEE DOI 0709
BibRef

Hwang, S.[Sae], Oh, J.H.[Jung-Hwan], Tavanapong, W.[Wallapak], Wong, J.[Johnny], de Groen, P.C.[Piet C.],
Polyp Detection in Colonoscopy Video using Elliptical Shape Feature,
ICIP07(II: 465-468).
IEEE DOI 0709
BibRef

Chowdhury, T.A.[Tarik A.], Ghita, O.[Ovidiu], Whelan, P.F.[Paul F.], Miranda, A.[Abhilash],
Note on Feature Selection for Polyp Detection in CT Colonography,
ICPR06(I: 1017-1021).
IEEE DOI 0609
BibRef


Last update:Nov 30, 2021 at 22:19:38