Distinction between primary and metastatic mucinous ovarian carcinoma from histopathology images using deep learning.

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Bibliographic Details
Title: Distinction between primary and metastatic mucinous ovarian carcinoma from histopathology images using deep learning.
Authors: Zhang MY; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Liu B; Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, Sichuan, China., Qin ZJ; Department of Obstetrics and Gynecology, West China Second Hospital / West China Women's and Children's Hospital, Sichuan University, Chengdu, Sichuan, China., Zhang YD; Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, Sichuan, China., Li ZQ; Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, Sichuan, China., Liu RZ; School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China., Xia ZX; Center of Statistical Research, School of Statistics and Data Science, Southwestern University of Finance and Economics, Chengdu, Sichuan, China., Long QX; Department of Pathology, Nanchong Central Hospital, the Second Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China., Xu J; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Mou XL; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Tang LS; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Li HS; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Meng WJ; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China., Zheng A; Department of Obstetrics and Gynecology, West China Second Hospital / West China Women's and Children's Hospital, Sichuan University, Chengdu, Sichuan, China., Shen YM; Department of Pathology, West China Second Hospital / West China Women's and Children's Hospital, Sichuan University, Chengdu, Sichuan, China. sym.julia@163.com.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China. sym.julia@163.com., Liu JY; Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. liujiyan1972@163.com.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Feb 24; Vol. 9 (1). Date of Electronic Publication: 2026 Feb 24.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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