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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

Colonoscopy, currently the most efficient and recognized colon polyp detection technology, is necessary for early screening and prevention of colorectal cancer. However, due to the varying size and complex morphological features of colonic…

Image and Video Processing · Electrical Eng. & Systems 2022-06-29 Jinfeng Wang , Qiming Huang , Feilong Tang , Jia Meng , Jionglong Su , Sifan Song

Computer-aided detection, localisation, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle automatic detection and segmentation of polyps, benchmarking of state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2021-04-02 Debesh Jha , Sharib Ali , Nikhil Kumar Tomar , Håvard D. Johansen , Dag D. Johansen , Jens Rittscher , Michael A. Riegler , Pål Halvorsen

Colorectal cancer (CRC), which frequently originates from initially benign polyps, remains a significant contributor to global cancer-related mortality. Early and accurate detection of these polyps via colonoscopy is crucial for CRC…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Ziyu Zhou , Wenyuan Shen , Chang Liu

Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and…

Image and Video Processing · Electrical Eng. & Systems 2024-03-05 Carlo Biffi , Giulio Antonelli , Sebastian Bernhofer , Cesare Hassan , Daizen Hirata , Mineo Iwatate , Andreas Maieron , Pietro Salvagnini , Andrea Cherubini

CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps within complex colonoscopy video scenes remains challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Kaini Wang , Haolin Wang , Guang-Quan Zhou , Yangang Wang , Ling Yang , Yang Chen , Shuo Li

Segmenting polyps in colonoscopy images is essential for the early identification and diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep learning based models such as Attention based variation, UNet…

Image and Video Processing · Electrical Eng. & Systems 2024-07-30 Al Mohimanul Islam , Sadia Shakiba Bhuiyan , Mysun Mashira , Md. Rayhan Ahmed , Salekul Islam , Swakkhar Shatabda

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

Colorectal cancer is the third most common cause of cancer worldwide. According to Global cancer statistics 2018, the incidence of colorectal cancer is increasing in both developing and developed countries. Early detection of colon…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Debesh Jha , Steven A. Hicks , Krister Emanuelsen , Håvard Johansen , Dag Johansen , Thomas de Lange , Michael A. Riegler , Pål Halvorsen

Colorectal cancer from the appearance of polyps that can be benign or malignant is one of the most fatal diseases in the world. To find these polyps in patients, colonoscopy is performed, which is a very efficient technique in this case.…

Image and Video Processing · Electrical Eng. & Systems 2021-03-30 Marcus V. L. Branch , Adriele S. Carvalho

Video capsule endoscopy (VCE) is used widely nowadays for visualizing the gastrointestinal (GI) tract. Capsule endoscopy exams are prescribed usually as an additional monitoring mechanism and can help in identifying polyps, bleeding, etc.…

Computer Vision and Pattern Recognition · Computer Science 2017-01-03 V. B. Surya Prasath

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers and a leading cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the colon or rectum is an important precursor for CRC. Currently,…

Image and Video Processing · Electrical Eng. & Systems 2019-12-30 Xinzi Sun , Pengfei Zhang , Dechun Wang , Yu Cao , Benyuan Liu

Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer. Polyps are seen as protrusions on the colon…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Ji Hwan Park , Saad Nadeem , Joseph Marino , Kevin Baker , Matthew Barish , Arie Kaufman

Polyps represent an early sign of the development of Colorectal Cancer. The standard procedure for their detection consists of colonoscopic examination of the gastrointestinal tract. However, the wide range of polyp shapes and visual…

Image and Video Processing · Electrical Eng. & Systems 2021-10-06 Adrian Galdran , Gustavo Carneiro , Miguel A. González Ballester

Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp detection, starting with a simple colon segmentation technique…

Computer Vision and Pattern Recognition · Computer Science 2012-10-01 Marcelo Fiori , Pablo Musé , Guillermo Sapiro

Polyps are the predecessors to colorectal cancer which is considered as one of the leading causes of cancer-related deaths worldwide. Colonoscopy is the standard procedure for the identification, localization, and removal of colorectal…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Saruar Alam , Nikhil Kumar Tomar , Aarati Thakur , Debesh Jha , Ashish Rauniyar

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

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

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 (CRC) is one of the most common causes of cancer and cancer-related mortality worldwide. Performing colon cancer screening in a timely fashion is the key to early detection. Colonoscopy is the primary modality used to…

Image and Video Processing · Electrical Eng. & Systems 2022-06-22 Nikhil Kumar Tomar , Annie Shergill , Brandon Rieders , Ulas Bagci , Debesh Jha