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Author/Affiliation: Lenin G. FalconiOpen AccessArticle
12 Pages, 658 KB 
Transfer Learning and Fine Tuning in Breast Mammogram Abnormalities Classification on CBIS-DDSM Database
Abstract:
Breast cancer has an important incidence in women mortality worldwide. Currently, mam- mography is considered the gold standard for breast abnormalities screening examinations, since it aids in the early detection and diagnosis of the illness. However, both identification of mass lesions and its malignancy classification is a challenging problem for artificial intelligence. In this work,…
Read More(This article belongs to the SP8 (Special Issue on Multidisciplinary Sciences and Engineering 2019-20) & Section Neuroimaging (NUM))