An Automated Pathological Class Level Annotation System for Volumetric Brain Images

• Main Authors: DINH, Thien Anh, SILANDER, Tomi, LIM, C. C. Tchoyoson, Tze-Yun LEONG
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/2990; https://ink.library.smu.edu.sg/context/sis_research/article/3990/viewcontent/amia_2012_symp_1201.pdf
• Institution: Singapore Management University

We introduce an automated, pathological class level annotation system for medical volumetric brain images. While much of the earlier work has mainly focused on annotating regions of interest in medical images, our system does not require annotated region level training data nor assumes perfect segme...