Segmentation of uterus and myoma from MRI image based on deep learning.

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Bibliographic Details
Title: Segmentation of uterus and myoma from MRI image based on deep learning.
Authors: Lin DQ; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan., Yeh LR; Department of Medical Imaging, E-Da Hospital, Kaohsiung, Taiwan., Chang Y; Center for Functional Onco-Imaging, University of California, Irvine, CA, USA., Chen JH; Department of Medical Imaging, E-Da Hospital, Kaohsiung, Taiwan; Center for Functional Onco-Imaging, University of California, Irvine, CA, USA., Yu YC; Department of Obstetrics & Gynecology, E-Da Hospital/I-Shou University, Kaohsiung, Taiwan., Chang CC; E-Da Dachang Hospital/I-Shou University, Kaohsiung, Taiwan. Electronic address: ed101779@edah.org.tw., Chiang JY; Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan. Electronic address: chiang@cse.nsysu.edu.tw., Huang SJ; Department of Obstetrics & Gynecology, E-Da Hospital/I-Shou University, Kaohsiung, Taiwan; E-Da Dachang Hospital/I-Shou University, Kaohsiung, Taiwan; College of Medicine, I-Shou University, Kaohsiung, Taiwan; Department of Obstetrics & Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA. Electronic address: huang3@cloud.isu.edu.tw.
Source: Taiwanese journal of obstetrics & gynecology [Taiwan J Obstet Gynecol] 2026 May; Vol. 65 (3), pp. 546-554.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: China (Republic : 1949- ) NLM ID: 101213819 Publication Model: Print Cited Medium: Internet ISSN: 1875-6263 (Electronic) Linking ISSN: 10284559 NLM ISO Abbreviation: Taiwan J Obstet Gynecol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1875-6263
DOI:10.1016/j.tjog.2024.05.030