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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 cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It starts as a polyp in the inner lining of the colon. To prevent CRC, early polyp detection is required. Colonosopy is used for the inspection of the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Alok Ranjan Sahoo , Satya Sangram Sahoo , Pavan Chakraborty

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

Colonoscopy is the gold standard for examination and detection of colorectal polyps. Localization and delineation of polyps can play a vital role in treatment (e.g., surgical planning) and prognostic decision making. Polyp segmentation can…

Image and Video Processing · Electrical Eng. & Systems 2021-01-01 Nikhil Kumar Tomar , Debesh Jha , Sharib Ali , Håvard D. Johansen , Dag Johansen , Michael A. Riegler , Pål Halvorsen

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

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

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 (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

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

Accurate polyp detection is critical for early colorectal cancer diagnosis. Although remarkable progress has been achieved in recent years, the complex colon environment and concealed polyps with unclear boundaries still pose severe…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Yuncheng Jiang , Zixun Zhang , Yiwen Hu , Guanbin Li , Xiang Wan , Song Wu , Shuguang Cui , Silin Huang , Zhen Li

Traditional diagnostic methods like colonoscopy are invasive yet critical tools necessary for accurately diagnosing colorectal cancer (CRC). Detection of CRC at early stages is crucial for increasing patient survival rates. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Xinliu Zhong , Leo Hwa Liang , Angela S. Koh , Yeo Si Yong

Colorectal cancer is among the most common malignancies and can develop from high-risk colon polyps. Colonoscopy is an effective screening tool to detect and remove polyps, especially in the case of precancerous lesions. However, the…

Image and Video Processing · Electrical Eng. & Systems 2022-03-02 Dinh Viet Sang , Tran Quang Chung , Phan Ngoc Lan , Dao Viet Hang , Dao Van Long , Nguyen Thi Thuy

Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers in medical imaging, computer vision, and robotics. Over the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Ke Niu , Zeyun Liu , Xue Feng , Heng Li , Qika Lin , Kaize Shi

In this paper, we propose and analyse a system that can automatically detect, localise and classify polyps from colonoscopy videos. The detection of frames with polyps is formulated as a few-shot anomaly classification problem, where the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Yu Tian , Leonardo Zorron Cheng Tao Pu , Yuyuan Liu , Gabriel Maicas , Johan W. Verjans , Alastair D. Burt , Seon Ho Shin , Rajvinder Singh , Gustavo Carneiro

Colonoscopy is the most common procedure for early detection and removal of polyps, a critical component of colorectal cancer prevention. Insufficient visual coverage of the colon surface during the procedure often results in missed polyps.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Emmanuelle Muhlethaler , Erez Posner , Moshe Bouhnik

We propose Path-CNN, a method for the segmentation of centerlines of tubular structures by embedding convolutional neural networks (CNNs) into the progressive minimal path method. Minimal path methods are widely used for topology-aware…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Wei Liao

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

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

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

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