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Related papers: SimCol3D -- 3D Reconstruction during Colonoscopy C…

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Deep learning has the potential to improve colonoscopy by enabling 3D reconstruction of the colon, providing a comprehensive view of mucosal surfaces and lesions, and facilitating the identification of unexplored areas. However, the…

Deducing the 3D structure of endoscopic scenes from images is exceedingly challenging. In addition to deformation and view-dependent lighting, tubular structures like the colon present problems stemming from their self-occluding and…

Computer Vision and Pattern Recognition · Computer Science 2023-12-18 Anita Rau , Binod Bhattarai , Lourdes Agapito , Danail Stoyanov

Colonoscopy is the most common procedure for early detection and removal of polyps, a critical component of colorectal cancer prevention. Insufficient visual coverage of the colon surface during the procedure often results in missed polyps.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Emmanuelle Muhlethaler , Erez Posner , Moshe Bouhnik

Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp removal being an effective early screening method. However, navigating the colon for thorough polyp detection poses significant challenges. To…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Xinwei Ju , Rema Daher , Razvan Caramalau , Baoru Huang , Danail Stoyanov , Francisco Vasconcelos

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

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and characterisation. Moreover, colonoscopic surveillance and removal…

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, producing good-quality depth estimation is challenging.…

Image and Video Processing · Electrical Eng. & Systems 2021-11-23 Yubo Zhang , Jan-Michael Frahm , Samuel Ehrenstein , Sarah K. McGill , Julian G. Rosenman , Shuxian Wang , Stephen M. Pizer

3D colon reconstruction from Optical Colonoscopy (OC) to detect non-examined surfaces remains an unsolved problem. The challenges arise from the nature of optical colonoscopy data, characterized by highly reflective low-texture surfaces,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Erez Posner , Adi Zholkover , Netanel Frank , Moshe Bouhnik

Colonoscopy is the tool of choice for preventing Colorectal Cancer, by detecting and removing polyps before they become cancerous. However, colonoscopy is hampered by the fact that endoscopists routinely miss 22-28% of polyps. While some of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Daniel Freedman , Yochai Blau , Liran Katzir , Amit Aides , Ilan Shimshoni , Danny Veikherman , Tomer Golany , Ariel Gordon , Greg Corrado , Yossi Matias , Ehud Rivlin

Colonoscopy is the choice procedure to diagnose colon and rectum cancer, from early detection of small precancerous lesions (polyps), to confirmation of malign masses. However, the high variability of the organ appearance and the complex…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Josué Ruano , Martín Gómez , Eduardo Romero , Antoine Manzanera

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

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for polyps and colonoscopy is the screening tool of choice. The…

Computer Vision and Pattern Recognition · Computer Science 2016-12-05 David Vázquez , Jorge Bernal , F. Javier Sánchez , Gloria Fernández-Esparrach , Antonio M. López , Adriana Romero , Michal Drozdzal , Aaron Courville

In surgical oncology, screening colonoscopy plays a pivotal role in providing diagnostic assistance, such as biopsy, and facilitating surgical navigation, particularly in polyp detection. Computer-assisted endoscopic surgery has recently…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Baoru Huang , Yida Wang , Anh Nguyen , Daniel Elson , Francisco Vasconcelos , Danail Stoyanov

Colorectal cancer (CRC) is one of the most common types of cancer with a high mortality rate. Colonoscopy is the preferred procedure for CRC screening and has proven to be effective in reducing CRC mortality. Thus, a reliable computer-aided…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Kaidong Li , Mohammad I. Fathan , Krushi Patel , Tianxiao Zhang , Cuncong Zhong , Ajay Bansal , Amit Rastogi , Jean S. Wang , Guanghui Wang

As the number of people affected by diseases in the gastrointestinal system is ever-increasing, a higher demand on preventive screening is inevitable. This will significantly increase the workload on gastroenterologists. To help reduce the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Pål Anders Floor , Ivar Farup , Marius Pedersen

Colorectal cancer is the third most common cause of cancer death worldwide. Optical colonoscopy is the gold standard for detecting colorectal cancer; however, about 25 percent of polyps are missed during the procedure. A vision-based…

Image and Video Processing · Electrical Eng. & Systems 2023-01-20 Alwyn Mathew , Ludovic Magerand , Emanuele Trucco , Luigi Manfredi

Colorectal polyps are abnormal tissues growing on the intima of the colon or rectum with a high risk of developing into colorectal cancer, the third leading cause of cancer death worldwide. Early detection and removal of colon polyps via…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Xinzi Sun , Dechun Wang , Chenxi Zhang , Pengfei Zhang , Zinan Xiong , Yu Cao , Benyuan Liu , Xiaowei Liu , Shuijiao Chen

Spatial computer vision techniques have the potential to improve the diagnostic performance of colonoscopy. However, the lack of 3D colonoscopy datasets for training and validation hinders their development. This paper introduces C3VDv2,…

Image and Video Processing · Electrical Eng. & Systems 2025-09-12 Mayank V. Golhar , Lucas Sebastian Galeano Fretes , Loren Ayers , Venkata S. Akshintala , Taylor L. Bobrow , Nicholas J. Durr

Colonoscopy screening is the gold standard procedure for assessing abnormalities in the colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal area and its 3D reconstruction can help quantify the surveyed area…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Pedro Esteban Chavarrias Solano , Andrew Bulpitt , Venkataraman Subramanian , Sharib Ali

Gastroendoscopy has been a clinical standard for diagnosing and treating conditions that affect a part of a patient's digestive system, such as the stomach. Despite the fact that gastroendoscopy has a lot of advantages for patients, there…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Aji Resindra Widya , Yusuke Monno , Masatoshi Okutomi , Sho Suzuki , Takuji Gotoda , Kenji Miki
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