Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0. It has been cited 13 times.
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National Cancer Institute
Grant: R01CA218144
National Cancer Institute
Grant: R21CA231892
National Cancer Institute
Grant: R01CA249882
National Institutes of Health
Grant: 5R01CA218144-03
Brain Cancer Radio-Pathomics for Predicting Heterogeneous Cytology
National Institutes of Health
Grant: 1R21CA231892-01
Bayesian learning algorithms for identifying and classifying heterogeneity of cell types in variety of solid tumors
National Institutes of Health
Grant: 5R01CA249882-04
Prostate Cancer Radio-Pathomics for Differentiating Clinically Significant Disease
State of Wisconsin Tax Check Off Program for Prostate Cancer Research
FWCI
2.14
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals