A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its Effect on Image Correspondence

Author:

Daher RemaORCID,Vasconcelos FranciscoORCID,Stoyanov Danail

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference77 articles.

1. A deep learning framework for quality assessment and restoration in video endoscopy;Ali;Med. Image Anal.,2021

2. Stereo correspondence and reconstruction of endoscopic data challenge;Allan,2021

3. Automatic and robust single-camera specular highlight removal in cardiac images;Alsaleh,2015

4. Automatic segmentation and inpainting of specular highlights for endoscopic imaging;Arnold;EURASIP J. Image Video Process.,2010

5. EndoMapper dataset of complete calibrated endoscopy procedures;Azagra,2022

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