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Improving Pit-Pattern Classification of Endoscopy Images by a Combination of Experts.

, , , , , and . MICCAI (1), volume 5761 of Lecture Notes in Computer Science, page 247-254. Springer, (2009)

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Automated Marsh-like classification of celiac disease in children using local texture operators., , , , and . Comput. Biol. Medicine, 41 (6): 313-325 (2011)Is a Precise Distortion Estimation Needed for Computer Aided Celiac Disease Diagnosis?, , and . ICISP, volume 8509 of Lecture Notes in Computer Science, page 620-628. Springer, (2014)Feature Extraction with Intrinsic Distortion Correction in Celiac Disease Imagery: No Need for Rasterization., , and . MCV, volume 8331 of Lecture Notes in Computer Science, page 196-204. Springer, (2013)Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease., , , and . CARE@MICCAI, volume 10170 of Lecture Notes in Computer Science, page 104-113. Springer, (2016)Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis., , , , , and . ICIAP (2), volume 10485 of Lecture Notes in Computer Science, page 467-478. Springer, (2017)Degradation Adaptive Texture Classification: A Case Study in Celiac Disease Diagnosis Brings New Insight., , and . ICIAR (2), volume 8815 of Lecture Notes in Computer Science, page 263-273. Springer, (2014)Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis., , and . GCPR, volume 8753 of Lecture Notes in Computer Science, page 666-677. Springer, (2014)Systematic Assessment of Performance Prediction Techniques in Medical Image Classification A Case Study on Celiac Disease., , and . IPMI, volume 6801 of Lecture Notes in Computer Science, page 498-509. Springer, (2011)Predicting the histology of colorectal lesions in a probabilistic framework., , , , , and . CVPR Workshops, page 103-110. IEEE Computer Society, (2010)Color treatment in endoscopic image classification using multi-scale local color vector patterns., , , , and . Medical Image Anal., 16 (1): 75-86 (2012)