TY - GEN
T1 - Automated diagnosis of Barrett's esophagus with endoscopic images
AU - Rajan, P.
AU - Canto, M.
AU - Gorospe, E.
AU - Almario, A.
AU - Kage, A.
AU - Winter, C.
AU - Hager, G.
AU - Wittenberg, T.
AU - Münzenmayer, Christian
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - In this paper, we describe current progress on the development of a Computer Assisted Diagnosis System (CAD) for the classification of Barrett's esophagus and associated neoplasia. Barrett's esophagus is a condition in which normal squamous mucosa is replaced by columnar epithelium, which is similar to the lining of the intestine. Barrett's esophagus as a known precancerous condition leading to esophageal cancer. Diagnosis is performed via histological analysis of tissue located during endoscopic examination. We compare four different automated classification tools (SVM, KNN, and Boosting) operating on three different imaging modalities (white light, narrow-band, and acetic acid chromoendoscopy) for lesion classification. Preliminary results suggest that narrow band imaging is more effective than either of the other two modalities for disease assessment.
AB - In this paper, we describe current progress on the development of a Computer Assisted Diagnosis System (CAD) for the classification of Barrett's esophagus and associated neoplasia. Barrett's esophagus is a condition in which normal squamous mucosa is replaced by columnar epithelium, which is similar to the lining of the intestine. Barrett's esophagus as a known precancerous condition leading to esophageal cancer. Diagnosis is performed via histological analysis of tissue located during endoscopic examination. We compare four different automated classification tools (SVM, KNN, and Boosting) operating on three different imaging modalities (white light, narrow-band, and acetic acid chromoendoscopy) for lesion classification. Preliminary results suggest that narrow band imaging is more effective than either of the other two modalities for disease assessment.
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U2 - 10.1007/978-3-642-03882-2_581
DO - 10.1007/978-3-642-03882-2_581
M3 - Conference contribution
AN - SCOPUS:77950153673
SN - 9783642038815
T3 - IFMBE Proceedings
SP - 2189
EP - 2192
BT - World Congress on Medical Physics and Biomedical Engineering
PB - Springer Verlag
T2 - World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Y2 - 7 September 2009 through 12 September 2009
ER -