A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies

• Published in: AMIA ... Annual Symposium proceedings Vol. 2017; pp. 1140 - 1148
• Main Authors: Li, Jiayun, Sarma, Karthik V, Chung Ho, King, Gertych, Arkadiusz, Knudsen, Beatrice S, Arnold, Corey W
• Format: Journal Article
• Language: English
• Published: United States American Medical Informatics Association 2017
• Subjects: Deep Learning; Diagnosis, Computer-Assisted; Humans; Machine Learning; Male; Neoplasm Grading; Prostate - pathology; Prostatectomy; Prostatic Neoplasms - pathology; Prostatic Neoplasms - surgery; Risk Assessment; Semantics; Support Vector Machine

Gleason grading of histological images is important in risk assessment and treatment planning for prostate cancer patients. Much research has been done in classifying small homogeneous cancer regions within histological images. However, semi-supervised methods published to date depend on pre-selecte...