Computer-aided Tumor Grading
Computer-Aided Tumor Grading is a computational methodology that integrates image analysis algorithms and machine learning models to assist in the quantitative assessment and classification of tumor malignancy levels from histopathological or radiological data, thereby enhancing the objectivity and reproducibility of tumor grading in clinical decision-making.
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Publications
17.6K
Citations
2.4K
Authors
920
Institutions
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2017–2026
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The Ohio State University
Columbus, United States
10 h-index
37 publications
2.9K citations

Sun Yat-sen University
Guangzhou, China
9 h-index
52 publications
2.5K citations
Fudan University
Shanghai, China
8 h-index
54 publications
2.4K citations

Sichuan University
Chengdu, China
7 h-index
46 publications
1.6K citations
West China Hospital of Sichuan University
Chengdu, China
7 h-index
20 publications
544 citations

Capital Medical University
Beijing, China
7 h-index
21 publications
461 citations

University of British Columbia
Vancouver, Canada
7 h-index
30 publications
2.8K citations
University of Southern California
Los Angeles, United States
6 h-index
6 publications
463 citations
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15 publications · 668 citations
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Repository · 13 publications · 645 citations
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