SIFT-DBT: Self-Supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image Classification
Author:
Affiliation:
1. Yale University,Department of Biomedical Engineering,New Haven,CT
2. Yale School of Medicine,Department of Radiology & Biomedical Imaging,New Haven,CT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635723.pdf?arnumber=10635723
Reference16 articles.
1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2. Advances in Digital Breast Tomosynthesis
3. A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis
4. Deep Long-Tailed Learning: A Survey
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