Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm.

Junichiro IshiokaYoh MatsuokaSho UeharaYosuke YasudaToshiki KijimaSoichiro YoshidaMinato YokoyamaKazutaka SaitoKazunori KiharaNoboru NumaoTomo KimuraKosei KudoItsuo KumazawaYasuhisa Fujii

Published in: BJU international (2018)

We developed a CAD system using a CNN algorithm for the fully automated detection of prostate cancer using MRI, which has the potential to provide reproducible interpretation and a greater level of standardisation and consistency.

Keyphrases

convolutional neural network
deep learning
prostate cancer
magnetic resonance imaging
radical prostatectomy
machine learning
contrast enhanced
coronary artery disease
high throughput
real time pcr
magnetic resonance
loop mediated isothermal amplification
climate change
single cell