Benign Tumor Classification
Benign Tumor Classification is a computational framework in medical image analysis that specifically distinguishes non-cancerous neoplastic growths from malignant or normal tissues through pattern recognition and feature extraction in histopathological or radiological data.
707
Publications
32.7K
Citations
2.9K
Authors
1K
Institutions
Publications per year
2017–2026
277
Parents
707
Solid Renal Tumors: An Analysis of Pathological Features Related to Tumor Size
Igor Frank, Michael L. Blute, John C. Cheville et al. · The Journal of Urology · 2003 · 1.1K citations
National survey of patterns of care for brain-tumor patients
M. Stephen Mahaley, Curtis Mettlin, Nachimuthu Natarajan et al. · Journal of neurosurgery · 1989 · 388 citations
1–5 of 707
2.9K
Ollscoil na Gaillimhe – University of Galway, Ireland
5 publications · 159 citations
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4
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Universidade Federal de Pernambuco, Brazil
4 publications · 156 citations
4
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1K
Harvard University
Cambridge, United States
9 h-index
36 publications
1.2K citations

Seoul National University Hospital
Seoul, South Korea
6 h-index
16 publications
551 citations
University of Washington
Seattle, United States
6 h-index
14 publications
673 citations

Sun Yat-sen University
Guangzhou, China
6 h-index
21 publications
610 citations
Memorial Sloan Kettering Cancer Center
New York, United States
6 h-index
30 publications
4.3K citations
Armed Forces Institute of Pathology
Silver Spring, United States
6 h-index
16 publications
1.9K citations

Cairo University
Giza, Egypt
6 h-index
16 publications
728 citations
Massachusetts General Hospital
Boston, United States
6 h-index
19 publications
438 citations
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Repository · 46 publications · 1.4K citations
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15 publications · 2.4K citations
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10 publications · 816 citations
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10 publications · 1K citations
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7 publications · 507 citations
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