most citedA Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models

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eess.IV2023

Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction

Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz +2

This contribution shows how an appropriate image pre-processing can improve a deep-learning based 3D reconstruction of colon parts. The assumption is that, rather than global image…

eess.IV2022★ 2 cited

A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models

Axel Garcia-Vega, Ricardo Espinosa, Gilberto Ochoa-Ruiz +4

Endoscopy is the most widely used medical technique for cancer and polyp detection inside hollow organs. However, images acquired by an endoscope are frequently affected by illumin…