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Related papers: Polyp detection in colonoscopy images using YOLOv1…

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Colonoscopy is the primary method for examination, detection, and removal of polyps. However, challenges such as variations among the endoscopists' skills, bowel quality preparation, and the complex nature of the large intestine contribute…

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

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

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 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 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

Accurate polyp segmentation in colonoscopy is essential for early colorectal cancer detection, yet real-world clinical environments pose persistent challenges such as motion blur, specular reflections, and illumination instability. Most…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Zhuoyu Wu , Wenhui Ou , Lexi Zhang , Pei-Sze Tan , Dongjun Wu , Junhe Zhao , Wenqi Fang , Raphaël C. -W. Phan

Colorectal cancer (CRC) is the first cause of death in many countries. CRC originates from a small clump of cells on the lining of the colon called polyps, which over time might grow and become malignant. Early detection and removal of…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Truong Dang , Thanh Nguyen , John McCall , Alan Wee-Chung Liew

Cancer is a disease that occurs as a result of the uncontrolled division and proliferation of cells. Colon cancer is one of the most common types of cancer in the world. Polyps that can be seen in the large intestine can cause cancer if not…

Image and Video Processing · Electrical Eng. & Systems 2022-04-25 Tugberk Erol , Duygu Sarikaya

Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detection and removal during colonoscopy being crucial for prevention. While deep learning methods have shown promise in polyp segmentation,…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Fiseha B. Tesema , Alejandro Guerra Manzanares , Tianxiang Cui , Qian Zhang , Moses Solomon , Sean He

Deep learning methods have demonstrated strong performance in objection tasks; however, their ability to learn domain-specific applications with limited training data remains a significant challenge. Transfer learning techniques address…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Fabian Vazquez , Jose Angel Nuñez , Xiaoyan Fu , Pengfei Gu , Bin Fu

Colorectal cancer (CRC) is a significant global health concern, and early detection through screening plays a critical role in reducing mortality. While deep learning models have shown promise in improving polyp detection, classification,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Jia Yu , Yan Zhu , Peiyao Fu , Tianyi Chen , Junbo Huang , Quanlin Li , Pinghong Zhou , Zhihua Wang , Fei Wu , Shuo Wang , Xian Yang

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

Colonoscopy is a vital tool for the early diagnosis of colorectal cancer, which is one of the main causes of cancer-related mortality globally; hence, it is deemed an essential technique for the prevention and early detection of colorectal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Ojonugwa Oluwafemi Ejiga Peter , Akingbola Oluwapemiisin , Amalahu Chetachi , Adeniran Opeyemi , Fahmi Khalifa , Md Mahmudur Rahman

Colorectal cancer (CRC) is the third most common cause of cancer diagnosed in the United States and the second leading cause of cancer-related death among both genders. Notably, CRC is the leading cause of cancer in younger men less than 50…

Computer Vision and Pattern Recognition · Computer Science 2024-09-11 Nikhil Kumar Tomar , Debesh Jha , Koushik Biswas , Tyler M. Berzin , Rajesh Keswani , Michael Wallace , Ulas Bagci

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image…

We present a computer-aided detection algorithm for polyps in optical colonoscopy images. Polyps are the precursors to colon cancer. In the US alone, more than 14 million optical colonoscopies are performed every year, mostly to screen for…

Computer Vision and Pattern Recognition · Computer Science 2016-09-13 Saad Nadeem , 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

Determining the necessity of resecting malignant polyps during colonoscopy screen is crucial for patient outcomes, yet challenging due to the time-consuming and costly nature of histopathology examination. While deep learning-based…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Ruijie Yang , Yan Zhu , Peiyao Fu , Yizhe Zhang , Zhihua Wang , Quanlin Li , Pinghong Zhou , Xian Yang , Shuo Wang

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…