who: Ana M. Mota and colleagues from the Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de, University College London, London WC E BT, UK have published the research: Automatic Classification of Simulated Breast Tomosynthesis Whole Images for the Presence of Microcalcification Clusters Using Deep CNNs, in the Journal: (JOURNAL)
what: The vast majority of learning studies on digital breast tomosynthesis (DBT) are focused on detecting and classifying lesions especially soft-tissue lesions in small regions of interest previously selected. The aim of this work is to implement and evaluate . . .
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