View in EDS

Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.

Saved in:
Bibliographic Details
Title: Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.
Authors: Lin P; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China., Zheng JM; Department of Radiology, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China., Liu CW; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Tang QQ; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Pang JS; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Qin Q; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China., Lin ZH; Department of Medical Ultrasound, Fujian Medical University Union Hospital, NO.29, Xinquan Road, Fuzhou, 350001, Fujian, China. Electronic address: 377579875@qq.com., Yang H; Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No 6 Shuangyong ROAD, Nanning, 530021, Guangxi, China. Electronic address: yanghong@gxmu.edu.cn.
Source: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society [Comput Med Imaging Graph] 2025 Sep; Vol. 124, pp. 102586. Date of Electronic Publication: 2025 Jun 18.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8806104 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0771 (Electronic) Linking ISSN: 08956111 NLM ISO Abbreviation: Comput Med Imaging Graph Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0771
DOI:10.1016/j.compmedimag.2025.102586