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Camera-based 3D Semantic Scene Completion (SSC) is a critical task for autonomous driving and robotic scene understanding. It aims to infer a complete 3D volumetric representation of both semantics and geometry from a single image. Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Zaidao Han , Risa Higashita , Jiang Liu

Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, the automated reporting of colonoscopy procedures is set to further revolutionize clinical practice. A crucial yet underexplored aspect in the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Carlo Biffi , Giorgio Roffo , Pietro Salvagnini , Andrea Cherubini

Geometric estimation including depth estimation and scene reconstruction is a crucial technique for colonoscopy which can provide surgeons with 3D spatial perception and navigation. However, geometric ground truth in colonoscopy is…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Liangjing Shao , Beilei Cui , Hongliang Ren

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

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

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

High screening coverage during colonoscopy is crucial to effectively prevent colon cancer. Previous work has allowed alerting the doctor to unsurveyed regions by reconstructing the 3D colonoscopic surface from colonoscopy videos in…

Computer Vision and Pattern Recognition · Computer Science 2021-03-19 Yubo Zhang , Shuxian Wang , Ruibin Ma , Sarah K. McGill , Julian G. Rosenman , Stephen M. Pizer

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 polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras…

Computer Vision and Pattern Recognition · Computer Science 2014-07-15 Alexander V. Mamonov , Isabel N. Figueiredo , Pedro N. Figueiredo , Yen-Hsi Richard Tsai

Colorectal cancer is the third most aggressive cancer worldwide. Polyps, as the main biomarker of the disease, are detected, localized, and characterized through colonoscopy procedures. Nonetheless, during the examination, up to 25% of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-04 Lina Ruiz , Franklin Sierra-Jerez , Jair Ruiz , Fabio Martinez

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

Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastroenterology. Despite its many advantages, such as high…

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors according to the World Health Organization (WHO). Early and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

Three-dimensional (3D) scene understanding in colonoscopy presents significant challenges that necessitate automated methods for accurate depth estimation. However, existing depth estimation models for endoscopy struggle with temporal…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Romain Hardy , Tyler Berzin , Pranav Rajpurkar

Efficient and accurate multi-organ segmentation from abdominal CT volumes is a fundamental challenge in medical image analysis. Existing 3D segmentation approaches are computationally and memory intensive, often processing entire volumes…

Image and Video Processing · Electrical Eng. & Systems 2025-05-19 Hania Ghouse , Muzammil Behzad

Desktop-based virtual colonoscopy has been proven to be an asset in the identification of colon anomalies. The process is accurate, although time-consuming. The use of immersive interfaces for virtual colonoscopy is incipient and not yet…

Human-Computer Interaction · Computer Science 2023-05-05 João Serras , Anderson Maciel , Soraia Paulo , Andrew Duchowski , Regis Kopper , Catarina Moreira , Joaquim Jorge

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

Monocular visual simultaneous localization and mapping (V-SLAM) is nowadays an irreplaceable tool in mobile robotics and augmented reality, where it performs robustly. However, human colonoscopies pose formidable challenges like occlusions,…

Robotics · Computer Science 2024-05-28 Richard Elvira , Juan D. Tardós , José M. M. Montiel

Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate identification and localization of key anatomical structures, reasoning about their geometric relationships to one another, and determining the quality…

Computer Vision and Pattern Recognition · Computer Science 2023-12-21 Aditya Murali , Deepak Alapatt , Pietro Mascagni , Armine Vardazaryan , Alain Garcia , Nariaki Okamoto , Didier Mutter , Nicolas Padoy

Colon cancer is expected to become the second leading cause of cancer death in the United States in 2023. Although colonoscopy is one of the most effective methods for early prevention of colon cancer, up to 30% of polyps may be missed by…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Xiao Yang , Enmin Song , Guangzhi Ma , Yunfeng Zhu , Dongming Yu , Bowen Ding , Xianyuan Wang