Deep Learning Bridges the Diagnostic Gap in Chronic Endometritis – Medicina MDPI
Medicina MDPI shared a post on LinkedIn about a paper by Kotaro Kitayama et al. published in Medicina:
“Check out this highly cited paper:
Bridging the Diagnostic Gap between Histopathologic and Hysteroscopic Chronic Endometritis with Deep Learning Models by Kotaro Kitayama, Tadahiro Yasuo and Takeshi Yamaguchi
Read more.
11 Citation
Chronic endometritis (CE) is an inflammatory pathologic condition of the uterine mucosa characterized by unusual infiltration of CD138(+) endometrial stromal plasmacytes (ESPCs).
CE is often identified in infertile women with unexplained etiology, tubal factors, endometriosis, repeated implantation failure, and recurrent pregnancy loss.”
Title: Bridging the Diagnostic Gap between Histopathologic and Hysteroscopic Chronic Endometritis with Deep Learning Models
Authors: Kotaro Kitayama, Tadahiro Yasuo and Takeshi Yamaguchi
Stay updated on all scientific advances in the field of fertility with Fertility News.
-
Aug 13, 2026, 16:25Devyanshi Dixit: Building Healthier Futures Through Reproductive Health Education
-
Aug 13, 2026, 16:18Stephen Parker Ellington: An Encouraging Story for Fertility And Women’s Reproductive Choice
-
Aug 13, 2026, 16:09Kiani Davis: Fertility Patient Journey Series – Part 2
-
Aug 13, 2026, 16:02Lodovico Parmegiani: Live Births Following Universal Single-Step Warming Across Multiple Vitrification Systems
-
Aug 13, 2026, 15:51The Future of Women’s Health Begins With the Knowledge We Give Young People Today – GFWH 2026
-
Aug 13, 2026, 15:409 Affirmations from ECSACOG-CoP – FIGO
-
Aug 13, 2026, 15:29Devyanshi Dixit: Empowering Adolescents Through Reproductive and Menstrual Health Education
-
Aug 13, 2026, 15:23That’s a Wrap on the Fertility Society of Australia and New Zealand 2026 – Monash IVF Group
-
Aug 13, 2026, 15:18Devyanshi Dixit: Can Women Have Endometriosis Without Severe Pain?