Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches.

ABSTRACT: Deep learning algorithms have achieved great success in cancer image classification. However, it is imperative to understand the differences between the deep learning and human approaches. Using an explainable model, we aimed to compare the deep learning-focused regions of magnetic resonance (MR) images with cancerous locations identified by radiologists and pathologists. First, 307 prostate MR images were classified using a well-established deep neural network without locational information of cancers. Subsequently, we assessed whether the deep learning-focused regions overlapped the radiologist-identified targets. Furthermore, pathologists provided histopathological diagnoses on 896 pathological images, and we compared the deep learning-focused regions with the genuine cancer locations t

SUBMITTER: Akatsuka J 

PROVIDER: S-EPMC6920905 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature