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Deep Learning Bridges the Diagnostic Gap in Chronic Endometritis – Medicina MDPI
Mar 12, 2026, 12:53

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

Medicina MDPI/LinkedIn

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CE Chronic Endometritis Endometrial Stromal Plasmacytes endometriosis Fertility Fertility News Hysteroscopic Chronic Endometritis Kotaro Kitayama Tadahiro Yasuo Takeshi Yamaguchi Uterine Mucosa
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