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Automated Cytoplasmic Image Analysis System for Non-invasive Oocyte Quality Screening Workflow Using Static Bright-Field Images.

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Bibliographic Details
Title: Automated Cytoplasmic Image Analysis System for Non-invasive Oocyte Quality Screening Workflow Using Static Bright-Field Images.
Authors: Morimoto T; Graduate School of Information Science, University of Hyogo, 7-1-28, Minatojimaminami-Machi, Chuo-Ku, Kobe, 650-0047, Japan. tmorimoto0619@gmail.com.; Department of Reproductive Medicine, Reproduction Clinic Tokyo, Shiodome City Center 3 F, 1-5-2 Higashi-Shimbashi, Minato-Ku, Tokyo, 105-7103, Japan. tmorimoto0619@gmail.com., Matsubayashi H; Department of Reproductive Medicine, Reproduction Clinic Tokyo, Shiodome City Center 3 F, 1-5-2 Higashi-Shimbashi, Minato-Ku, Tokyo, 105-7103, Japan., Takeuchi T; Department of Reproductive Medicine, Reproduction Clinic Tokyo, Shiodome City Center 3 F, 1-5-2 Higashi-Shimbashi, Minato-Ku, Tokyo, 105-7103, Japan., Ishikawa T; Department of Reproductive Medicine, Reproduction Clinic Tokyo, Shiodome City Center 3 F, 1-5-2 Higashi-Shimbashi, Minato-Ku, Tokyo, 105-7103, Japan., Haraguchi R; Graduate School of Information Science, University of Hyogo, 7-1-28, Minatojimaminami-Machi, Chuo-Ku, Kobe, 650-0047, Japan.
Source: Reproductive sciences (Thousand Oaks, Calif.) [Reprod Sci] 2026 Jul 13. Date of Electronic Publication: 2026 Jul 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101291249 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1933-7205 (Electronic) Linking ISSN: 19337191 NLM ISO Abbreviation: Reprod Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1933-7205
DOI:10.1007/s43032-026-02148-x