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This contribution shows how an appropriate image pre-processing can improve adeep-learning based 3D reconstruction of colon parts. The assumption is that,rather than global image illumination corrections, local under- andover-exposures should be corrected in colonoscopy. An overview of the pipelineincluding the image exposure correction and a RNN-SLAM is first given. Then,this paper quantifies the reconstruction accuracy of the endoscope trajectoryin the colon with and without appropriate illumination correction

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