Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques.

Petronio Augusto de Souza Melo Carmen Liane Neubarth Estivallet Miguel Srougi William Carlos Nahas Katia Ramos Moreira Leite

Published in: Clinics (Sao Paulo, Brazil) (2021)

Deep learning algorithms have a high potential for use in the diagnosis and grading of PCa. Scanning methods are likely to be superior to simple classification methods.

Keyphrases

deep learning
radical prostatectomy
prostate cancer
artificial intelligence
machine learning
convolutional neural network
high resolution
electron microscopy
human health
mass spectrometry
risk assessment