Duchateau F

No ORCID on file · 4 papers in corpus · active 2024-2026

Study types

  • article 1
  • other 1
  • preprint 1
  • review 1

Condition tags

  • endometriosis 3
  • endometrioma 1
review 2026
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition
Acta obstetricia et gynecologica Scandinavica ·doi:10.1111/aogs.70293

INTRODUCTION: Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion r…

article 2025
Initial Results in the Automatic Visual Recognition of Endometriosis Lesions by Artificial Intelligence During Laparoscopy: A Proof-of-Concept Study
Journal of minimally invasive gynecology ·doi:10.1016/j.jmig.2025.08.027

OBJECTIVE: To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance. DESIGN: Collecting and annotating surgical videos and training…

other 2025
Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset
Diagnostics ·doi:10.3390/diagnostics15101254

Background: Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and variability in lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for ob…

preprint 2024
Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset
·doi:10.20944/preprints202412.2127.v1

Laparoscopic surgery for endometriosis presents unique challenges due to the complexity and variability of lesion appearances within the abdominal cavity. This study investigates the application of deep learning models for object detection …