Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images

Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images

Aim. The aim of this study was to develop and evaluate the effectiveness of a convolutional neural network (CNN) in detecting papillary bladder cancer (PBC) using a limited set of cystoscopic images.Materials and methods. Twenty patients who underwent white light cystoscopy and histologically confir...

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Bibliographic Details
Main Authors: V. S. Rozova, C. Russo, V. Y. Lekarev, V. V. Kazantseva, A. M. Dymov, A. S. Rzhevskiy, A. V. Zvyagin
Format: Article
Language:Russian
Published: Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University) 2024-04-01
Series:Сеченовский вестник
Subjects:
cystoscopy
tumor detection
image segmentation
convolutional neural network
augmented dataset
dice coefficient
Online Access:https://www.sechenovmedj.com/jour/article/view/1034
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