Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer.
Dominik MüllerPhilip MeyerLukas RentschlerRobin ManzDaniel HieberJonas BäckerSamantha CramerChristoph WengenmayrBruno MärklRalf HussFrank KramerIñaki Soto ReyJohannes RafflerPublished in: CoRR (2024)
Keyphrases
- prostate cancer
- deep learning
- computer aided
- unsupervised learning
- image guided
- mr images
- unsupervised feature learning
- machine learning
- medical image analysis
- magnetic resonance spectroscopy
- weakly supervised
- radiation therapy
- mental models
- learning algorithm
- magnetic resonance images
- neural network
- data points
- computer vision
- bayesian networks
- pattern recognition
- active learning
- medical images
- image registration
- image data