Diagnostic value of mammography density of breast masses by using deep learning.

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Bibliographic Details
Title: Diagnostic value of mammography density of breast masses by using deep learning.
Authors: Chen QQ; Department of Radiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Lin ST; Department of Radiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Ye JY; Department of Radiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Tong YF; Shanghai Yanghe Huajian Artificial Intelligence Technology Co. Ltd., Shanghai, China., Lin S; Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.; Department of Neuroendocrinology, Group of Neuroendocrinology, Garvan Institute of Medical Research, Sydney, Australia., Cai SQ; Department of Radiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Source: Frontiers in oncology [Front Oncol] 2023 Jun 02; Vol. 13, pp. 1110657. Date of Electronic Publication: 2023 Jun 02 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2234-943X
DOI:10.3389/fonc.2023.1110657