A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images.
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| Title: | A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images. |
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| Authors: | Yao N; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Hu H; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Chen K; Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, Guangdong, China., Huang H; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Zhao C; Department of Applied Computing, Michigan Technological University, Houghton, MI, USA.; Department of Computer Science, Kennesaw State University, Marietta, GA, USA., Guo Y; Department of Radiology, The First People's Hospital of Guangzhou, Guangzhou, 510180, Guangdong, China., Li B; Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, Guangdong, China., Nan J; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Li Y; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Han C; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Zhu F; School of Computer Science and Technology, Zhengzhou University of Light Industry, Zhengzhou, 450002, Henan, China., Zhou W; Department of Applied Computing, Michigan Technological University, Houghton, MI, USA. whzhou@mtu.edu.; Center for Biocomputing and Digital Health, Institute of Computing and Cybersystems, and Health Research Institute, Michigan Technological University, Houghton, MI, USA. whzhou@mtu.edu., Tian L; Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, Guangdong, China. tianli@sysucc.org.cn. |
| Source: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Jun; Vol. 38 (3), pp. 1323-1333. Date of Electronic Publication: 2024 Sep 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2948-2933 |
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| DOI: | 10.1007/s10278-024-01276-7 |
