Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features is a research paper published in Radiology (2022). On theSindex it has a DataRank of 0. It has been cited 42 times.
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National Cancer Institute
Grant: U01-CA214183
National Cancer Institute
Grant: R01-CA185138
U.S. Department of Defense Breast Cancer Research Program
Grant: W81XWH-14-1-0473
Breast Cancer Research Foundation
Grant: BCRF-16-183
Breast Cancer Research Foundation
Grant: BCRF-17-073
Cancer Research UK and Dutch Cancer Society
Grant: C38317/A24043
National Institutes of Health
Grant: U54 CA217376
National Institutes of Health
Grant: P01 CA91955
National Institutes of Health
Grant: R01 CA185138
National Institutes of Health
Grant: R01 CA140657
NIHR Cambridge Biomedical Research Centre
Grant: BRC-1215-20014
NCI NIH HHS
Grant: U01 CA214183
NCI NIH HHS
Grant: P01 CA091955
Medical Research Council
Grant: MR/T000406/1
NCI NIH HHS
Grant: P30 CA014236
Cancer Research UK
Grant: 24043
National Institutes of Health
Grant: 5R01CA185138-03
(PQC3) Genomic Diversity and Microenvironment as Drivers of Metastasis in DCIS
National Institutes of Health
Grant: 3U01CA214183-05S1
Breast Cancer Detection Consortium
National Institutes of Health
Grant: 5P01CA091955-05
Barretts Esophagus: Predictors of Progression
National Institutes of Health
Grant: 5U54CA217376-05
Arizona Cancer and Evolution Center (ACE)
National Institutes of Health
Grant: 5R01CA140657-12
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2
Cancer Research UK
Nvidia
FWCI
4.55
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals