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Related papers: Colon Shape Estimation Method for Colonoscope Trac…

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This paper presents a colon deformation estimation method, which can be used to estimate colon deformations during colonoscope insertions. Colonoscope tracking or navigation system that navigates a physician to polyp positions during a…

Computer Vision and Pattern Recognition · Computer Science 2018-06-11 Masahiro Oda , Takayuki Kitasaka , Kazuhiro Furukawa , Ryoji Miyahara , Yoshiki Hirooka , Hidemi Goto , Nassir Navab , Kensaku Mori

This paper presents a colonoscope tracking method utilizing a colon shape estimation method. CT colonography is used as a less-invasive colon diagnosis method. If colonic polyps or early-stage cancers are found, they are removed in a…

Computer Vision and Pattern Recognition · Computer Science 2020-04-21 Masahiro Oda , Holger R. Roth , Takayuki Kitasaka , Kazuhiro Furukawa , Ryoji Miyahara , Yoshiki Hirooka , Nassir Navab , Kensaku Mori

This paper reports a detailed evaluation results of a colonoscope tracking method. A colonoscope tracking method utilizing electromagnetic sensors and a CT volume has been proposed. Tracking accuracy of this method was evaluated by using a…

We propose a spatio-temporal mixing kinematic data estimation method to estimate the shape of the colon with deformations caused by colonoscope insertion. Endoscope tracking or a navigation system that navigates physicians to target…

Computer Vision and Pattern Recognition · Computer Science 2023-02-03 Masahiro Oda , Kazuhiro Furukawa , Nassir Navab , Kensaku Mori

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image…

Identifying polyps is challenging for automatic analysis of endoscopic images in computer-aided clinical support systems. Models based on convolutional networks (CNN), transformers, and their combinations have been proposed to segment…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Nguyen Thanh Duc , Nguyen Thi Oanh , Nguyen Thi Thuy , Tran Minh Triet , Dinh Viet Sang

Colonoscopy reconstruction is pivotal for diagnosing colorectal cancer. However, accurate long-sequence colonoscopy reconstruction faces three major challenges: (1) dissimilarity among segments of the colon due to its meandering and…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Yufei Shi , Beijia Lu , Jia-Wei Liu , Ming Li , Mike Zheng Shou

Automatic detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various polyp-like mimics during colonoscopy. In this study, we apply…

Computer Vision and Pattern Recognition · Computer Science 2019-06-28 Younghak Shin , Hemin Ali Qadir , Lars Aabakken , Jacob Bergsland , Ilangko Balasingham

Colonoscopy is a routine outpatient procedure used to examine the colon and rectum for any abnormalities including polyps, diverticula and narrowing of colon structures. A significant amount of the clinician's time is spent in…

Computer Vision and Pattern Recognition · Computer Science 2022-09-28 Aniruddha Tamhane , Tse'ela Mida , Erez Posner , Moshe Bouhnik

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Faisal Mahmood , Nicholas J. Durr

Biomedical image segmentation is a very important part in disease diagnosis. The term "colonic polyps" refers to polypoid lesions that occur on the surface of the colonic mucosa within the intestinal lumen. In clinical practice, early…

Image and Video Processing · Electrical Eng. & Systems 2024-04-02 Chen Peng , Zhiqin Qian , Kunyu Wang , Qi Luo , Zhuming Bi , Wenjun Zhang

Objective: Depth estimation is crucial for endoscopic navigation and manipulation, but obtaining ground-truth depth maps in real clinical scenarios, such as the colon, is challenging. This study aims to develop a robust framework that…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Sijia Du , Chengfeng Zhou , Suncheng Xiang , Jianwei Xu , Dahong Qian

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-08 Netanel Frank , Erez Posner , Emmanuelle Muhlethaler , Adi Zholkover , Moshe Bouhnik

Colorectal polyps are generally benign alterations that, if not identified promptly and managed successfully, can progress to cancer and cause affectations on the colon mucosa, known as adenocarcinoma. Today advances in Deep Learning have…

Image and Video Processing · Electrical Eng. & Systems 2025-01-22 Daniela L. Ramos , Hector J. Hortua

Automatic pancreas segmentation in radiology images, eg., computed tomography (CT) and magnetic resonance imaging (MRI), is frequently required by computer-aided screening, diagnosis, and quantitative assessment. Yet pancreas is a…

Computer Vision and Pattern Recognition · Computer Science 2018-04-02 Jinzheng Cai , Le Lu , Fuyong Xing , Lin Yang

Optical colonoscopy is an essential diagnostic and prognostic tool for many gastrointestinal diseases, including cancer screening and staging, intestinal bleeding, diarrhea, abdominal symptom evaluation, and inflammatory bowel disease…

Computer Vision and Pattern Recognition · Computer Science 2021-12-10 Heming Yao , Ryan W. Stidham , Zijun Gao , Jonathan Gryak , Kayvan Najarian

Colorectal cancer is a one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer and early diagnosis of polyps by colonoscopy could result in successful treatment. Diagnosis…

Image and Video Processing · Electrical Eng. & Systems 2018-02-02 Mojtaba Akbari , Majid Mohrekesh , Ebrahim Nasr-Esfahani , S. M. Reza Soroushmehr , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

Computerized detection of colonic polyps remains an unsolved issue because of the wide variation in the appearance, texture, color, size, and presence of the multiple polyp-like imitators during colonoscopy. In this paper, we propose a deep…

Computer Vision and Pattern Recognition · Computer Science 2020-08-18 Tariq Rahim , Syed Ali Hassan , Soo Young Shin

Colonoscopy is the most widely used medical technique for preventing Colorectal Cancer, by detecting and removing polyps before they become malignant. Recent studies show that around one quarter of the existing polyps are routinely missed.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 G. Leifman , I. Kligvasser , R. Goldenberg , M. Elad , E. Rivlin

To track tumors during surgery, information from preoperative CT scans is used to determine their position. However, as the surgeon operates, the tumor may be deformed which presents a major hurdle for accurately resecting the tumor, and…

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