 Connection
Kaustav Bera to Machine Learning
This is a "connection" page, showing publications Kaustav Bera has written about Machine Learning.
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Connection Strength |
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0.579 |
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Bera K, Katz I, Madabhushi A. Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology. JCO Clin Cancer Inform. 2020 11; 4:1039-1050.
Score: 0.488
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Khorrami M, Bera K, Thawani R, Rajiah P, Gupta A, Fu P, Linden P, Pennell N, Jacono F, Gilkeson RC, Velcheti V, Madabhushi A. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans. Eur J Cancer. 2021 05; 148:146-158.
Score: 0.031
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Liu JTC, Glaser AK, Bera K, True LD, Reder NP, Eliceiri KW, Madabhushi A. Harnessing non-destructive 3D pathology. Nat Biomed Eng. 2021 03; 5(3):203-218.
Score: 0.031
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Li H, Whitney J, Bera K, Gilmore H, Thorat MA, Badve S, Madabhushi A. Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings. Breast Cancer Res. 2019 10 17; 21(1):114.
Score: 0.028
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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