Rosemary Zuna to Support Vector Machine
This is a "connection" page, showing publications Rosemary Zuna has written about Support Vector Machine.
Connection Strength
0.032
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Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification. IEEE J Biomed Health Inform. 2016 11; 20(6):1595-1607.
Score: 0.032
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.