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Deep learning in gastrointestinal endoscopy can assist to improve clinical performance and be helpful to assess lesions more accurately. To this extent, semantic segmentation methods that can perform automated real-time delineation of a…

Image and Video Processing · Electrical Eng. & Systems 2021-04-23 Debesh Jha , Nikhil Kumar Tomar , Sharib Ali , Michael A. Riegler , Håvard D. Johansen , Dag Johansen , Thomas de Lange , Pål Halvorsen

Colonoscopy is a gold standard procedure but is highly operator-dependent. Automated polyp segmentation, a precancerous precursor, can minimize missed rates and timely treatment of colon cancer at an early stage. Even though there are deep…

Image and Video Processing · Electrical Eng. & Systems 2022-05-10 Nikhil Kumar Tomar , Debesh Jha , Ulas Bagci , Sharib Ali

Deep learning models have been proposed for automatic polyp detection and precise segmentation of polyps during colonoscopy procedures. Although these state-of-the-art models achieve high performance, they often require a large number of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Tugberk Erol , Tuba Caglikantar , Duygu Sarikaya

Polyps are early cancer indicators, so assessing occurrences of polyps and their removal is critical. They are observed through a colonoscopy screening procedure that generates a stream of video frames. Segmenting polyps in their natural…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Ziang Xu , Jens Rittscher , Sharib Ali

Purpose: Colorectal cancer (CRC) is the second most common cause of cancer mortality worldwide. Colonoscopy is a widely used technique for colon screening and polyp lesions diagnosis. Nevertheless, manual screening using colonoscopy suffers…

Computer Vision and Pattern Recognition · Computer Science 2021-05-25 Zhiqiang Shen , Chaonan Lin , Shaohua Zheng

The detection and removal of precancerous polyps through colonoscopy is the primary technique for the prevention of colorectal cancer worldwide. However, the miss rate of colorectal polyp varies significantly among the endoscopists. It is…

Image and Video Processing · Electrical Eng. & Systems 2022-06-24 Nikhil Kumar Tomar , Abhishek Srivastava , Ulas Bagci , Debesh Jha

Automated colonoscopy reporting holds great potential for enhancing quality control and improving cost-effectiveness of colonoscopy procedures. A major challenge lies in the automated identification, tracking, and re-association (ReID) of…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Luca Parolari , Andrea Cherubini , Lamberto Ballan , Carlo Biffi

Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem due to various…

Computer Vision and Pattern Recognition · Computer Science 2019-07-23 Hemin Ali Qadir , Younghak Shin , Johannes Solhusvik , Jacob Bergsland , Lars Aabakken , Ilangko Balasingham

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, 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

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

Colorectal cancer is one of fatal cancer worldwide. Colonoscopy is the standard treatment for examination, localization, and removal of colorectal polyps. However, it has been shown that the miss-rate of colorectal polyps during colonoscopy…

Image and Video Processing · Electrical Eng. & Systems 2021-01-12 Nikhil Kumar Tomar

Automated polyp counting in colonoscopy is a crucial step toward automated procedure reporting and quality control, aiming to enhance the cost-effectiveness of colonoscopy screening. Counting polyps in a procedure involves detecting and…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Luca Parolari , Andrea Cherubini , Lamberto Ballan , Carlo Biffi

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

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

Colonoscopy is the standard of care technique for detecting and removing polyps for the prevention of colorectal cancer. Nevertheless, gastroenterologists (GI) routinely miss approximately 25% of polyps during colonoscopies. These misses…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Idan Kligvasser , George Leifman , Roman Goldenberg , Ehud Rivlin , Michael Elad

Detecting and segmenting polyps is crucial for expediting the diagnosis of colon cancer. This is a challenging task due to the large variations of polyps in color, texture, and lighting conditions, along with subtle differences between the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Krushi Patel , Fengjun Li , Guanghui Wang

Colorectal cancer is among the most prevalent cause of cancer-related mortality worldwide. Detection and removal of polyps at an early stage can help reduce mortality and even help in spreading over adjacent organs. Early polyp detection…

Image and Video Processing · Electrical Eng. & Systems 2023-04-20 Nikhil Kumar Tomar , Ulas Bagci , Debesh Jha

Background: Colonoscopy remains the gold-standard screening for colorectal cancer. However, significant miss rates for polyps have been reported, particularly when there are multiple small adenomas. This presents an opportunity to leverage…

Image and Video Processing · Electrical Eng. & Systems 2021-06-23 Michael Yeung , Evis Sala , Carola-Bibiane Schönlieb , Leonardo Rundo

Colorectal cancer contributes significantly to cancer-related mortality. Timely identification and elimination of polyps through colonoscopy screening is crucial in order to decrease mortality rates. Accurately detecting polyps in…

Image and Video Processing · Electrical Eng. & Systems 2024-05-08 Owen Singh , Sandeep Singh Sengar