Cystoscopic imaging for bladder cancer detection based on stepwise organic transfer learning with a pre-trained convolutional neural network.

Non-muscle-invasive bladder cancer is diagnosed, treated, and monitored using cystoscopy. Artificial intelligence is increasingly used to augment tumor detection, but its performance is hindered by the limited availability of cystoscopic images required to form a large training dataset.