Developing global image feature analysis models to predict cancer risk and prognosis

Developing global image feature analysis models to predict cancer risk and prognosis

Abstract In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research interest recently. Most of these research approaches use the similar concepts of...

Full description

Bibliographic Details
Main Authors: Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
Format: Article
Language:English
Published: SpringerOpen 2019-11-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Machine learning models of medical images
Global medial image feature analysis
Cancer risk prediction
Cancer prognosis prediction
Quantitative imaging markers
Online Access:http://link.springer.com/article/10.1186/s42492-019-0026-5

Internet

http://link.springer.com/article/10.1186/s42492-019-0026-5

Similar Items