Training of polyp staging systems using mixed imaging modalities
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Shinji Tanaka | Michael Gadermayr | Andreas Uhl | Dorit Merhof | Roland Kwitt | Toru Tamaki | Michael Häfner | Shigeto Yoshida | Georg Wimmer | A. Uhl | R. Kwitt | D. Merhof | Shinji Tanaka | M. Häfner | S. Yoshida | Toru Tamaki | M. Gadermayr | Georg Wimmer
[1] Michael Gadermayr,et al. Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps , 2016, CARE@MICCAI.
[2] Andreas Uhl,et al. Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps , 2009, Pattern Recognit..
[3] Andreas Uhl,et al. Delaunay triangulation-based pit density estimation for the classification of polyps in high-magnification chromo-colonoscopy , 2012, Comput. Methods Programs Biomed..
[4] Andreas Uhl,et al. Bridging the Resolution Gap between Endoscope Types for a Colonic Polyp Classification , 2014, 2014 22nd International Conference on Pattern Recognition.
[5] Andreas Uhl,et al. Directional wavelet based features for colonic polyp classification , 2016, Medical Image Anal..
[6] S. Kudo,et al. Colorectal tumours and pit pattern. , 1994, Journal of clinical pathology.
[7] Andreas Uhl,et al. Shape and size adapted local fractal dimension for the classification of polyps in HD colonoscopy , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[8] Andreas Uhl,et al. Colonic Polyp Classification in High-Definition Video Using Complex Wavelet-Packets , 2015, Bildverarbeitung für die Medizin.
[9] Shinji Tanaka,et al. Local fractal dimension based approaches for colonic polyp classification , 2015, Medical Image Anal..
[10] A. Uhl,et al. Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review , 2011, IEEE Reviews in Biomedical Engineering.
[11] Andreas Uhl,et al. Color treatment in endoscopic image classification using multi-scale local color vector patterns , 2012, Medical Image Anal..
[12] Til Aach,et al. Automated classification of colon polyps in endoscopic image data , 2012, Medical Imaging.
[13] Andrew Zisserman,et al. Return of the Devil in the Details: Delving Deep into Convolutional Nets , 2014, BMVC.
[14] Masahiro Yamaguchi,et al. Endoscopic Observation of Tissue by Narrowband Illumination , 2003 .
[15] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[16] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[17] Yasushi Sano,et al. Magnifying colonoscopy as a non-biopsy technique for differential diagnosis of non-neoplastic and neoplastic lesions. , 2006, World journal of gastroenterology.
[18] Shengcai Liao,et al. Learning Multi-scale Block Local Binary Patterns for Face Recognition , 2007, ICB.
[19] Mitsuhiro Fujishiro,et al. Novel image-enhanced endoscopy with i-scan technology. , 2010, World journal of gastroenterology.
[20] Andreas Uhl,et al. Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification , 2016, Comput. Math. Methods Medicine.
[21] Kazufumi Kaneda,et al. Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features , 2016, ArXiv.
[22] Andreas Uhl,et al. A Novel Shape Feature Descriptor for the Classification of Polyps in HD Colonoscopy , 2013, MCV.
[23] David Zhang,et al. Domain Adaptation via Maximum Independence of Domain Features , 2016, ArXiv.