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