Work

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

Year: 2023

Type: preprint

Abstract: 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 illumination corrections, local under- and over-exposures should be corrected in colonoscopy. An overview of the pipeline including the image exposure correction and a RNN-SLAM is first given. Then, this paper quantifies the reconstruction accuracy of the endoscope trajectory in the colon with and without appropriate illumination correction

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2304.03171

Authors: Espinosa, Ricardo, Garcia-Vega, Carlos Axel, Ochoa-Ruiz, Gilberto, Lamarque, Dominique, Daul, Christian

Institutions: Centre National de la Recherche Scientifique, CRAN, Universidad Panamericana, campus Aguascalientes, Universidad Panamericana, Université de Lorraine, Tecnológico de Monterrey, Assistance Publique – Hôpitaux de Paris, Hôpital Ambroise-Paré

Language: English

Topic: Image Processing Techniques and Applications

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4362706929

Cites: 11

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Related to: 10