Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset

Object Detection in Laparoscopic Surgery: A Comparative Study of Deep Learning Models on a Custom Endometriosis Dataset

<b>Background:</b> 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 object detection in laparoscopic videos, ai...

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Main Authors: Andrey Bondarenko, Vilen Jumutc, Antoine Netter, Fanny Duchateau, Henrique Mendonca Abrão, Saman Noorzadeh, Giuseppe Giacomello, Filippo Ferrari, Nicolas Bourdel, Ulrik Bak Kirk, Dmitrijs Bļizņuks
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
endometriosis
deep learning
object detection
RCNN
Online Access:https://www.mdpi.com/2075-4418/15/10/1254
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https://www.mdpi.com/2075-4418/15/10/1254

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