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Optical colonoscopy (OC), the most prevalent colon cancer screening tool, has a high miss rate due to a number of factors, including the geometry of the colon (haustral fold and sharp bends occlusions), endoscopist inexperience or fatigue,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-24 Shawn Mathew , Saad Nadeem , Arie Kaufman

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

Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer. Polyps are seen as protrusions on the colon…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Ji Hwan Park , Saad Nadeem , Joseph Marino , Kevin Baker , Matthew Barish , Arie Kaufman

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

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 a one of the highest causes of cancer-related death, especially in men. Polyps are one of the main causes of colorectal cancer and early diagnosis of polyps by colonoscopy could result in successful treatment. Diagnosis…

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

Colonoscopy videos provide richer information in polyp segmentation for rectal cancer diagnosis. However, the endoscope's fast moving and close-up observing make the current methods suffer from large spatial incoherence and continuous…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Qiang Hu , Zhenyu Yi , Ying Zhou , Fang Peng , Mei Liu , Qiang Li , Zhiwei Wang

The analysis of glandular morphology within colon histopathology images is an important step in determining the grade of colon cancer. Despite the importance of this task, manual segmentation is laborious, time-consuming and can suffer from…

Computer Vision and Pattern Recognition · Computer Science 2019-02-19 Simon Graham , Hao Chen , Jevgenij Gamper , Qi Dou , Pheng-Ann Heng , David Snead , Yee Wah Tsang , Nasir Rajpoot

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

Precise localization of polyp is crucial for early cancer screening in gastrointestinal endoscopy. Videos given by endoscopy bring both richer contextual information as well as more challenges than still images. The camera-moving situation,…

Computer Vision and Pattern Recognition · Computer Science 2021-07-09 Lingyun Wu , Zhiqiang Hu , Yuanfeng Ji , Ping Luo , Shaoting Zhang

Colorectal cancer screening modalities, such as optical colonoscopy (OC) and virtual colonoscopy (VC), are critical for diagnosing and ultimately removing polyps (precursors of colon cancer). The non-invasive VC is normally used to inspect…

Image and Video Processing · Electrical Eng. & Systems 2021-08-27 Shawn Mathew , Saad Nadeem , Sruti Kumari , Arie Kaufman

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

Colonoscopy is a routine outpatient procedure used to examine the colon and rectum for any abnormalities including polyps, diverticula and narrowing of colon structures. A significant amount of the clinician's time is spent in…

Computer Vision and Pattern Recognition · Computer Science 2022-09-28 Aniruddha Tamhane , Tse'ela Mida , Erez Posner , Moshe Bouhnik

Colonoscopy is the most widely used medical technique for preventing Colorectal Cancer, by detecting and removing polyps before they become malignant. Recent studies show that around one quarter of the existing polyps are routinely missed.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 G. Leifman , I. Kligvasser , R. Goldenberg , M. Elad , E. Rivlin

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

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

Colon polyps are considered important precursors for colorectal cancer. Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve physician annotation efficiency. While many methods have…

Image and Video Processing · Electrical Eng. & Systems 2023-05-02 Yuheng Li , Mingzhe Hu , Xiaofeng Yang

Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doctors and surgeons for diagnosis, treatments or medical training. However, obtaining the annotations required to train commonly used supervised…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Clara Tomasini , Luis Riazuelo , Ana C. Murillo

Colorectal cancer ranks among the most common and deadly cancers, emphasizing the need for effective early detection and treatment. To address the limitations of traditional colonoscopy, including high miss rates due to polyp variability,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Arshia Yousefi Nezhad , Helia Aghaei , Hedieh Sajedi

Colonoscopy screening is the gold standard procedure for assessing abnormalities in the colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal area and its 3D reconstruction can help quantify the surveyed area…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Pedro Esteban Chavarrias Solano , Andrew Bulpitt , Venkataraman Subramanian , Sharib Ali
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