Cystoscope image is an important reference for bladder cancer diagnosis. Considering that intelligent analysis of the cystoscopic helps to improve the diagnose efficiency of the doctors, we propose a deep learning based prediction model in this paper to classify invasive and noninvasive bladder cancers. Our model adopts four feature extraction layers based on CNN, and achieves good classification performance through continuous optimization of model parameters. The experimental results show that the model recognition accuracy can reach up to 88.24%, and it can effectively distinguish invasive bladder cancer from non-invasive bladder cancer.

Deep Learning Based Pathologic Images Recognition Upon Invasive Bladder Cancer

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Deep Learning Based Pathologic Images Recognition Upon Invasive Bladder Cancer