Search Results for author: Manel Farhat

Found 2 papers, 2 papers with code

Date Published Github Stars

Graph Self-Supervised Learning for Endoscopic Image Matching

1 code implementation • 19 Jun 2023 • Manel Farhat, Achraf Ben-Hamadou

Accurate feature matching and correspondence in endoscopic images play a crucial role in various clinical applications, including patient follow-up and rapid anomaly localization through panoramic image generation.

Image Generation Self-Supervised Learning

2
Paper
Code

Self-Supervised Endoscopic Image Key-Points Matching

1 code implementation • 24 Aug 2022 • Manel Farhat, Houda Chaabouni-Chouayakh, Achraf Ben-Hamadou

Feature matching and finding correspondences between endoscopic images is a key step in many clinical applications such as patient follow-up and generation of panoramic image from clinical sequences for fast anomalies localization.

Self-Supervised Learning

11
Paper
Code
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