3D reconstruction from endoscopy images: A survey
Z Yang, J Dai, J Pan - Computers in Biology and Medicine, 2024 - Elsevier
Three-dimensional reconstruction of images acquired through endoscopes is playing a vital
role in an increasing number of medical applications. Endoscopes used in the clinic are …
role in an increasing number of medical applications. Endoscopes used in the clinic are …
Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping
A Schmidt, O Mohareri, S DiMaio… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Quantifying performance of methods for tracking and mapping tissue in endoscopic
environments is essential for enabling image guidance and automation of medical …
environments is essential for enabling image guidance and automation of medical …
Frontiers in Intelligent Colonoscopy
Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer.
This study investigates the frontiers of intelligent colonoscopy techniques and their …
This study investigates the frontiers of intelligent colonoscopy techniques and their …
A novel hybrid endoscopic dataset for evaluating machine learning-based photometric image enhancement models
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 …
hollow organs. However, images acquired by an endoscope are frequently affected by …
CLTS-GAN: color-lighting-texture-specular reflection augmentation for colonoscopy
Automated analysis of optical colonoscopy (OC) video frames (to assist endoscopists during
OC) is challenging due to variations in color, lighting, texture, and specular reflections …
OC) is challenging due to variations in color, lighting, texture, and specular reflections …
ColDE: a depth estimation framework for colonoscopy reconstruction
One of the key elements of reconstructing a 3D mesh from a monocular video is generating
every frame's depth map. However, in the application of colonoscopy video reconstruction …
every frame's depth map. However, in the application of colonoscopy video reconstruction …
A surface-normal based neural framework for colonoscopy reconstruction
Reconstructing a 3D surface from colonoscopy video is challenging due to illumination and
reflectivity variation in the video frame that can cause defective shape predictions. Aiming to …
reflectivity variation in the video frame that can cause defective shape predictions. Aiming to …
Scaling Up Task Execution on Resource-Constrained Systems
Y Luo - 2023 - search.proquest.com
The ubiquity of executing machine learning tasks on embedded systems with constrained
resources has made efficient execution of neural networks on these systems under the CPU …
resources has made efficient execution of neural networks on these systems under the CPU …
A deep learning-based image pre-processing pipeline for enhanced 3D colon surface reconstruction robust to endoscopic illumination artifacts
R Espinosa, J Cerriteño… - 2024 IEEE 37th …, 2024 - ieeexplore.ieee.org
This contribution demonstrates the efficacy of targeted image pre-processing techniques in
enhancing deep-learning-based 3D reconstruction of colon surfaces. It challenges the …
enhancing deep-learning-based 3D reconstruction of colon surfaces. It challenges the …
Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction
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 …
learning based 3D reconstruction of colon parts. The assumption is that, rather than global …