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Precise and real-time detection of gastrointestinal polyps during endoscopic procedures is crucial for early diagnosis and prevention of colorectal cancer. This work presents EndoSight AI, a deep learning architecture developed and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Daniel Cavadia

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

We improved an existing end-to-end polyp detection model with better average precision validated by different data sets with trivial cost on detection speed. Our previous work on detecting polyps within colonoscopy provided an efficient…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Jialin Yu , Huogen Wang , Ming Chen

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

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

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these polyps complicates their detection and removal, leading to…

Automatic analysis of colonoscopy images has been an active field of research motivated by the importance of early detection of precancerous polyps. However, detecting polyps during the live examination can be challenging due to various…

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is the third most commonly diagnosed cancer in males and the second in females. For colorectal cancer, the best screening test available is the colonoscopy. During a…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Dechun Wang , Ning Zhang , Xinzi Sun , Pengfei Zhang , Chenxi Zhang , Yu Cao , Benyuan Liu

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

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

Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task for medical personnel due to the large volume of images, the cognitive load it creates for clinicians, and the ambiguity in labeling…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Puneet Sharma , Kristian Dalsbø Hindberg , Eibe Frank , Benedicte Schelde-Olesen , Ulrik Deding

Abnormalities in the gastrointestinal tract significantly influence the patient's health and require a timely diagnosis for effective treatment. With such consideration, an effective automatic classification of these abnormalities from a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Lakshmi Srinivas Panchananam , Praveen Kumar Chandaliya , Kishor Upla , Kiran Raja

Wireless capsule endoscopy (WCE) is an effective means of diagnosis of gastrointestinal disorders. Detection of informative scenes by WCE could reduce the length of transmitted videos and can help with the diagnosis. In this paper we…

Computer Vision and Pattern Recognition · Computer Science 2018-02-23 Mohsen Hajabdollahi , Reza Esfandiarpoor , S. M. Reza Soroushmehr , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

Automatic polyp segmentation is crucial for effective diagnosis and treatment in colonoscopy images. Traditional methods encounter significant challenges in accurately delineating polyps due to limitations in feature representation and the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Quang Vinh Nguyen , Thanh Hoang Son Vo , Sae-Ryung Kang , Soo-Hyung Kim

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

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

Early detection and assessment of polyps play a crucial role in the prevention and treatment of colorectal cancer (CRC). Polyp segmentation provides an effective solution to assist clinicians in accurately locating and segmenting polyp…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Jiaxin Mei , Tao Zhou , Kaiwen Huang , Yizhe Zhang , Yi Zhou , Ye Wu , Huazhu Fu

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

Wireless Capsule Endoscopy (WCE) presented in 2001 as one of the key approaches to observe the entire gastrointestinal (GI) tract, generally the small bowels. It has been used to detect diseases in the gastrointestinal tract. Endoscopic…

Image and Video Processing · Electrical Eng. & Systems 2021-02-12 Rezvan Ezatian , Donya Khaledyan , Kian Jafari , Morteza Heidari , Abolfazl Zargari Khuzani , Najmeh Mashhadi

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