Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification
Prostate cancer was in 2012 the second most common type of cancer for males globally. To be able to treat prostate cancer in the most effective way it is important to know how aggressive the cancer is. This aggressiveness is graded using the Gleason score. The diagnosis is done by pathologists inspecting prostate biopsies, but the advancement of pattern recognition using Convolutional Neural Netwo
