Segmentation for mammography classification utilizing deep convolutional neural network.

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Bibliographic Details
Title: Segmentation for mammography classification utilizing deep convolutional neural network.
Authors: Kumar Saha D; Department of Computer Science and Engineering, Stamford University Bangladesh, Siddeswari, Dhaka, Bangladesh., Hossain T; Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh., Safran M; Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia. mejdl@ksu.edu.sa., Alfarhood S; Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia., Mridha MF; Department of Computer Science, American International University-Bangladesh, Kuratoli, Dhaka, Bangladesh. firoz.mridha@aiub.edu., Che D; Department of Electrical Engineering and Computer Science, Texas A&M University-Kingsville, Kingsville, 78363, Texas, USA.
Source: BMC medical imaging [BMC Med Imaging] 2024 Dec 18; Vol. 24 (1), pp. 334. Date of Electronic Publication: 2024 Dec 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2342
DOI:10.1186/s12880-024-01510-2