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Virtual colonoscopy (VC) allows a physician to virtually navigate within a reconstructed 3D colon model searching for colorectal polyps. Though VC is widely recognized as a highly sensitive and specific test for identifying polyps, one…

Human-Computer Interaction · Computer Science 2017-07-26 Ji Hwan Park , Seyedkoosha Mirhosseini , Saad Nadeem , Joseph Marino , Arie Kaufman , Kevin Baker , Matthew Barish

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

Accurate segmentation of polyps from colonoscopy images is crucial for the early diagnosis and treatment of colorectal cancer. Most existing deep learning-based polyp segmentation methods adopt an Encoder-Decoder architecture, and some…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Desheng Li , Chaoliang Liu , Zhiyong Xiao

Colonoscopy is still the main method of detection and segmentation of colonic polyps, and recent advancements in deep learning networks such as U-Net, ResUNet, Swin-UNet, and PraNet have made outstanding performance in polyp segmentation.…

Image and Video Processing · Electrical Eng. & Systems 2025-08-14 Madan Baduwal

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 common and practical method for detecting and treating polyps. Segmenting polyps from colonoscopy image is useful for diagnosis and surgery progress. Nevertheless, achieving excellent segmentation performance is still…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Quang Vinh Nguyen , Van Thong Huynh , Soo-Hyung Kim

Polyp segmentation is crucial for preventing colorectal cancer a common type of cancer. Deep learning has been used to segment polyps automatically, which reduces the risk of misdiagnosis. Localizing small polyps in colonoscopy images is…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Ju-Hyeon Nam , Seo-Hyeong Park , Nur Suriza Syazwany , Yerim Jung , Yu-Han Im , Sang-Chul Lee

To cope with the growing prevalence of colorectal cancer (CRC), screening programs for polyp detection and removal have proven their usefulness. Colonoscopy is considered the best-performing procedure for CRC screening. To ease the…

Image and Video Processing · Electrical Eng. & Systems 2024-01-25 Mathias Ramm Haugland , Hemin Ali Qadir , Ilangko Balasingham

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

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

Detection of colon polyps has become a trending topic in the intersecting fields of machine learning and gastrointestinal endoscopy. The focus has mainly been on per-frame classification. More recently, polyp segmentation has gained…

Image and Video Processing · Electrical Eng. & Systems 2021-07-02 Vajira Thambawita , Steven A. Hicks , Pål Halvorsen , Michael A. Riegler

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

Wireless capsule endoscopy is a medical procedure used to visualize the entire gastrointestinal tract and to diagnose intestinal conditions, such as polyps or bleeding. Current analyses are performed by manually inspecting nearly each one…

Image and Video Processing · Electrical Eng. & Systems 2020-10-05 Pablo Laiz , Jordi Vitrià , Hagen Wenzek , Carolina Malagelada , Fernando Azpiroz , Santi Seguí

Automatic polyp segmentation has proven to be immensely helpful for endoscopy procedures, reducing the missing rate of adenoma detection for endoscopists while increasing efficiency. However, classifying a polyp as being neoplasm or not and…

Image and Video Processing · Electrical Eng. & Systems 2021-07-13 Phan Ngoc Lan , Nguyen Sy An , Dao Viet Hang , Dao Van Long , Tran Quang Trung , Nguyen Thi Thuy , Dinh Viet Sang

Survival rates for colorectal cancer are higher when polyps are detected at an early stage and can be removed before they develop into malignant tumors. Automated polyp detection, which is dominated by deep learning based methods, seeks to…

Machine Learning · Computer Science 2020-08-25 Maxime Kayser , Roger D. Soberanis-Mukul , Anna-Maria Zvereva , Peter Klare , Nassir Navab , Shadi Albarqouni

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

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the diverse shape, size, color, and texture of polyps, shuttle…

Image and Video Processing · Electrical Eng. & Systems 2021-05-04 Krushi Patel , Andres M. Bur , Guanghui Wang

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to…

Colonoscopy is the choice procedure to diagnose colon and rectum cancer, from early detection of small precancerous lesions (polyps), to confirmation of malign masses. However, the high variability of the organ appearance and the complex…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Josué Ruano , Martín Gómez , Eduardo Romero , Antoine Manzanera

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