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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

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

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. In the search for algorithms capable of addressing this challenge, foundation models emerge as promising candidates. Their zero-shot or…

Automatic detection of polyps is challenging because different polyps vary greatly, while the changes between polyps and their analogues are small. The state-of-the-art methods are based on convolutional neural networks (CNNs). However,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Jianwei Xu , Ran Zhao , Yizhou Yu , Qingwei Zhang , Xianzhang Bian , Jun Wang , Zhizheng Ge , Dahong Qian

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

Polyp has long been considered as one of the major etiologies to colorectal cancer which is a fatal disease around the world, thus early detection and recognition of polyps plays a crucial role in clinical routines. Accurate diagnoses of…

Tissues and Organs · Quantitative Biology 2018-09-06 Xi Mo , Ke Tao , Quan Wang , Guanghui Wang

Deep learning based neural networks have gained popularity for a variety of biomedical imaging applications. In the last few years several works have shown the use of these methods for colon cancer detection and the early results have been…

Computer Vision and Pattern Recognition · Computer Science 2023-01-24 Chandana Raju , Sumedh Vilas Datar , Kushala Hari , Kavin Vijay , Suma Ningappa

Early detection, accurate segmentation, classification and tracking of polyps during colonoscopy are critical for preventing colorectal cancer. Many existing deep-learning-based methods for analyzing colonoscopic videos either require…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Anwesa Choudhuri , Zhongpai Gao , Meng Zheng , Benjamin Planche , Terrence Chen , Ziyan Wu

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 polyps are important precursors to colon cancer, the third most common cause of cancer mortality for both men and women. It is a disease where early detection is of crucial importance. Colonoscopy is commonly used for early…

Computer Vision and Pattern Recognition · Computer Science 2019-11-25 Ahmed Mohammed , Sule Yildirim , Ivar Farup , Marius Pedersen , Øistein Hovde

Colorectal cancer is one of the common cancers in the United States. Polyp is one of the main causes of the colonic cancer and early detection of polyps will increase chance of cancer treatments. In this paper, we propose a novel…

Image and Video Processing · Electrical Eng. & Systems 2018-02-06 Mojtaba Akbari , Majid Mohrekesh , Shima Rafiei , S. M. Reza Soroushmehr , Nader Karimi , Shadrokh Samavi , Kayvan Najarian

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

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

Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing with colorectal cancer (CRC). Colonic polyps, precursors to CRC, can pathologically be classified into two major types: adenomatous and…

Image and Video Processing · Electrical Eng. & Systems 2025-02-11 Vanshali Sharma , Debesh Jha , M. K. Bhuyan , Pradip K. Das , Ulas Bagci

Colon polyps are precursors to colorectal cancer, a leading cause of cancer-related mortality worldwide. Early detection is critical for improving patient outcomes. This study investigates the application of deep learning-based object…

Image and Video Processing · Electrical Eng. & Systems 2025-08-20 Md Al Amin , Bikash Kumar Paul

Colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Most colorectal cancers start as a growth on the inner lining of the colon or rectum, called 'polyp'. Not all polyps are cancerous, but…

Computer Vision and Pattern Recognition · Computer Science 2020-09-09 Krushi Patel , Kaidong Li , Ke Tao , Quan Wang , Ajay Bansal , Amit Rastogi , Guanghui Wang

Colorectal cancer (CRC), a lethal disease, begins with the growth of abnormal mucosal cell proliferation called polyps in the inner wall of the colon. When left undetected, polyps can become malignant tumors. Colonoscopy is the standard…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Siddharth Gupta , Jitin Singla

Colorectal cancer is one of the deadliest cancers today, but it can be prevented through early detection of malignant polyps in the colon, primarily via colonoscopies. While this method has saved many lives, human error remains a…

Image and Video Processing · Electrical Eng. & Systems 2025-05-09 Jose Angel Nuñez , Fabian Vazquez , Diego Adame , Xiaoyan Fu , Pengfei Gu , Bin Fu

Endoscopic diagnosis is an important means for gastric polyp detection. In this paper, a panoramic image of gastroscopy is developed, which can display the inner surface of the stomach intuitively and comprehensively. Moreover, the proposed…

Image and Video Processing · Electrical Eng. & Systems 2019-10-22 Chenfei Shi , Yan Xue , Chuan Jiang , Hui Tian , Bei Liu

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