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Related papers: Colorectal Polyp Detection in Real-world Scenario:…

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In the recent years, artificial intelligence (AI) and its leading subtypes, machine learning (ML) and deep learning (DL) and their applications are spreading very fast in various aspects such as medicine. Today the most important challenge…

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

Colorectal Cancer(CRC) poses a great risk to public health. It is the third most common cause of cancer in the US. Development of colorectal polyps is one of the earliest signs of cancer. Early detection and resection of polyps can greatly…

Image and Video Processing · Electrical Eng. & Systems 2021-10-19 Debayan Bhattacharya , Christian Betz , Dennis Eggert , Alexander Schlaefer

Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This characterization is time-intensive, requires years of…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Bruno Korbar , Andrea M. Olofson , Allen P. Miraflor , Katherine M. Nicka , Matthew A. Suriawinata , Lorenzo Torresani , Arief A. Suriawinata , Saeed Hassanpour

Colorectal cancer is the third-most common cancer in the Western Hemisphere. The segmentation of colorectal and colorectal cancer by computed tomography is an urgent problem in medicine. Indeed, a system capable of solving this problem will…

Image and Video Processing · Electrical Eng. & Systems 2024-08-01 I. M. Chernenkiy , Y. A. Drach , S. R. Mustakimova , V. V. Kazantseva , N. A. Ushakov , S. K. Efetov , M. V. Feldsherov

Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Faisal Mahmood , Nicholas J. Durr

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

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

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

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

Differentiation of colorectal polyps is an important clinical examination. A computer-aided diagnosis system is required to assist accurate diagnosis from colonoscopy images. Most previous studies at-tempt to develop models for polyp…

Computer Vision and Pattern Recognition · Computer Science 2021-08-06 Qin Wang , Hui Che , Weizhen Ding , Li Xiang , Guanbin Li , Zhen Li , Shuguang Cui

Segmenting polyps in colonoscopy images is essential for the early identification and diagnosis of colorectal cancer, a significant cause of worldwide cancer deaths. Prior deep learning based models such as Attention based variation, UNet…

Image and Video Processing · Electrical Eng. & Systems 2024-07-30 Al Mohimanul Islam , Sadia Shakiba Bhuiyan , Mysun Mashira , Md. Rayhan Ahmed , Salekul Islam , Swakkhar Shatabda

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

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…

Colorectal cancer is a deadly disease that has become increasingly prevalent in recent years. Early detection is crucial for saving lives, but traditional diagnostic methods such as colonoscopy and biopsy have limitations. Colonoscopy…

Machine Learning · Statistics 2023-07-18 Shangqing Tong , Peng Ge , Yanan Jiao , Zhaofu Ma , Ziye Li , Longhai Liu , Feng Gao , Xiaohui Du , Fei Gao

In this study, to address the current high earlydetection miss rate of colorectal cancer (CRC) polyps, we explore the potentials of utilizing transfer learning and machine learning (ML) classifiers to precisely and sensitively classify the…

Image and Video Processing · Electrical Eng. & Systems 2022-11-10 Nethra Venkatayogi , Ozdemir Can Kara , Jeff Bonyun , Naruhiko Ikoma , Farshid Alambeigi

Early detection of colorectal polyps is of utmost importance for their treatment and for colorectal cancer prevention. Computer vision techniques have the potential to aid professionals in the diagnosis stage, where colonoscopies are…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Enric Moreu , Eric Arazo , Kevin McGuinness , Noel E. O'Connor

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors according to the World Health Organization (WHO). Early and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Akwasi Asare , Thanh-Huy Nguyen , Ulas Bagci

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, underscoring the importance of timely polyp detection and diagnosis. While deep learning models have improved optical-assisted diagnostics, they often demand…

Information Retrieval · Computer Science 2025-07-24 Ruijie Yang , Yan Zhu , Peiyao Fu , Yizhe Zhang , Zhihua Wang , Quanlin Li , Pinghong Zhou , Xian Yang , Shuo Wang

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