IJGC/LinkedIn
Jul 25, 2026, 10:23
Deep Learning-Based Prediction of HRD From Histopathological Whole-Slide Images in Ovarian Cancer – IJGC
International Journal of Gynecological Cancer (IJGC) shared a post on LinkedIn:
“New research introduces a deeplearning model designed to detect HRD in ovariancancer using standard H and E slides.”
Title: Deep learning-based prediction of homologous recombination deficiency from histopathological whole-slide images in ovarian cancer
Authors: Jean-Sébastien Frenel, Pierre-Etienne Heudel, Emmanuelle Guinaudeau, Céline Bossard, Gabriel Lindahl, Joseph Rynkiewicz, Sanae Salhi, Yahia Salhi, Jérôme Chetrit, Eric Pujade-Lauraine, Isabelle Ray-Coquard
Read the full article.

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Céline Bossard
deeplearning model
Emmanuelle Guinaudeau
Eric Pujade-Lauraine
Fertility
Fertility News
Gabriel Lindahl
H and E slide
HRD
International Journal of Gynecological Cancer (IJGC)
Isabelle Ray-Coquard
Jean-Sébastien Frenel
Jérôme Chetrit
Joseph Rynkiewicz
ovariancancer
Pierre-Etienne Heudel
reproductive health
Reproductive Medicine
Sanae Salhi
Yahia Salhi
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