Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 28 times.
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National Institutes of Health
Grant: R37-CA248207
National Institutes of Health
Grant: 5R37CA248207-05
Developing a personalized breast cancer screening tool using sequential mammograms
FWCI
1.74
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis
Additional file 1 of Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis