ResNet-SCDA-50 for Breast Abnormality Classification. (2021)
Attributed to:
Driving innovation in precision medicine through translational life sciences research at the University of Leicester
funded by
UKRI
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tcbb.2020.2986544
PubMed Identifier: 32287004
Publication URI: http://europepmc.org/abstract/MED/32287004
Type: Journal Article/Review
Volume: 18
Parent Publication: IEEE/ACM transactions on computational biology and bioinformatics
Issue: 1
ISSN: 1545-5963