Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers

Cystoscopic Image Classification by Unsupervised Feature Learning and Fusion of Classifiers

Cystoscopy imaging is highly recommended for the early diagnosis of bladder cancer, which is the ninth most common cancer in the world. This study presents an intelligent method for classifying cystoscopy images of bladder. In the proposed method, a pre-trained convolutional neural network (CNN) is...

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Bibliographic Details
Main Authors: Seyyed Mohammad Reza Hashemi, Hamid Hassanpour, Ehsan Kozegar, Tao Tan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
cystoscopic image classification
ensemble classifier
semantic features
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9491038/

Internet

https://ieeexplore.ieee.org/document/9491038/

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