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

• URL: http://arxiv.org/abs/2304.03171v2
• Date: Fri, 14 Apr 2023 23:40:31 GMT
• Title: Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction
• Authors: Ricardo Espinosa, Carlos Axel Garcia-Vega, Gilberto Ochoa-Ruiz, Dominique Lamarque, Christian Daul
• Abstract summary: 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.
• Score: 1.0499611180329804
• License: http://creativecommons.org/licenses/by/4.0/
• 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

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