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