EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos-Reference-Cited by-同舟云学术

EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos

Published:2021-07 Issue: Volume:71 Page:102058
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Ozyoruk Kutsev Bengisu^ORCID,Gokceler Guliz Irem^ORCID,Bobrow Taylor L.^ORCID,Coskun Gulfize,Incetan Kagan^ORCID,Almalioglu Yasin^ORCID,Mahmood Faisal^ORCID,Curto Eva,Perdigoto Luis,Oliveira Marina^ORCID,Sahin Hasan,Araujo Helder^ORCID,Alexandrino Henrique,Durr Nicholas J.^ORCID,Gilbert Hunter B.^ORCID,Turan Mehmet^ORCID

Funder

TÜBİTAK

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference75 articles.

1. Robust medical instrument segmentation (robust-mis) challenge 2019, https://www.synapse.org/#!Synapse:syn18779624/wiki/592660, Accessed: 2020-02-12.

2. An astounding 19 million colonoscopies are performed annually in the united states, 2018, https://idataresearch.com/an-astounding-19-million-colonoscopies-are-performed//-annually-in-the-united-states/, Accessed: 08/08/2018.

3. 3D, S, User handbook - shining 3D einscan.

4. Global Cancer Facts and Figures;American Cancer Society,2018

5. Global burden of 5 major types of gastrointestinal cancer;Arnold;Gastroenterology,2020

Cited by 117 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

2. Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope;Computer Methods and Programs in Biomedicine;2024-11

3. Depth estimation from monocular endoscopy using simulation and image transfer approach;Computers in Biology and Medicine;2024-10

4. Three-Dimensional Dense Reconstruction: A Review of Algorithms and Datasets;Sensors;2024-09-10

5. Self-supervised endoscopy depth estimation framework with CLIP-guidance segmentation;Biomedical Signal Processing and Control;2024-09