Improving breast cancer diagnostics with deep learning for MRI is a research paper published in Science Translational Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 128 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NIBIB NIH HHS
Grant: P41 EB017183
NCI NIH HHS
Grant: R21 CA225175
National Institutes of Health
Grant: 1R21CA225175-01A1
Reducing recall rates of screening mammography with deep convolutional neural network
National Institutes of Health
Grant: 5P41EB017183-05
Center for Advanced Imaging Innovation and Research (CAI2R)
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA)
Dynamic contrast-enhanced magnetic resonance images of breast cancer patients with tumor locations