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Related papers: Detecting Deficient Coverage in Colonoscopies

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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

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

Background: Colonoscopy remains the gold-standard screening for colorectal cancer. However, significant miss rates for polyps have been reported, particularly when there are multiple small adenomas. This presents an opportunity to leverage…

Image and Video Processing · Electrical Eng. & Systems 2021-06-23 Michael Yeung , Evis Sala , Carola-Bibiane Schönlieb , Leonardo Rundo

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

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

Potentially precancerous polyps detected with CT colonography (CTC) need to be removed subsequently, using an optical colonoscope (OC). Due to large colonic deformations induced by the colonoscope, even very experienced colonoscopists find…

Computer Vision and Pattern Recognition · Computer Science 2015-01-16 Holger R. Roth , Thomas E. Hampshire , Emma Helbren , Mingxing Hu , Roser Vega , Steve Halligan , David J. Hawkes

Background and Objective: Colorectal cancer prevention relies on early detection of polyps during colonoscopy. Existing public datasets, such as CVC-ClinicDB and Kvasir-SEG, provide valuable benchmarks but are limited by small sample sizes,…

Image and Video Processing · Electrical Eng. & Systems 2025-11-11 Ridoy Chandra Shil , Ragib Abid , Tasnia Binte Mamun , Samiul Based Shuvo , Masfique Ahmed Bhuiyan , Jahid Ferdous

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-08 Netanel Frank , Erez Posner , Emmanuelle Muhlethaler , Adi Zholkover , Moshe Bouhnik

Colorectal cancer, largely arising from precursor lesions called polyps, remains one of the leading causes of cancer-related death worldwide. Current clinical standards require the resection and histopathological analysis of polyps due to…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Rodney LaLonde , Pujan Kandel , Concetto Spampinato , Michael B. Wallace , Ulas Bagci

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

Precise and real-time detection of gastrointestinal polyps during endoscopic procedures is crucial for early diagnosis and prevention of colorectal cancer. This work presents EndoSight AI, a deep learning architecture developed and…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Daniel Cavadia

Colorectal cancer is the third most common cause of cancer death worldwide. Optical colonoscopy is the gold standard for detecting colorectal cancer; however, about 25 percent of polyps are missed during the procedure. A vision-based…

Image and Video Processing · Electrical Eng. & Systems 2023-01-20 Alwyn Mathew , Ludovic Magerand , Emanuele Trucco , Luigi Manfredi

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. In the search for algorithms capable of addressing this challenge, foundation models emerge as promising candidates. Their zero-shot or…

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers and a leading cause of cancer deaths in the United States. Colorectal polyps that grow on the intima of the colon or rectum is an important precursor for CRC. Currently,…

Image and Video Processing · Electrical Eng. & Systems 2019-12-30 Xinzi Sun , Pengfei Zhang , Dechun Wang , Yu Cao , Benyuan Liu

Objectives: Timely and accurate detection of colorectal polyps plays a crucial role in diagnosing and preventing colorectal cancer, a major cause of mortality worldwide. This study introduces a new, lightweight, and efficient framework for…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Saadat Behzadi , Danial Sharifrazi , Bita Mesbahzadeh , Javad Hassannataj Joloudari , Roohallah Alizadehsani

This paper is created to explore deep learning models and algorithms that results in highest accuracy in detecting polyp on colonoscopy images. Previous studies implemented deep learning using convolution neural network (CNN) algorithm in…

Image and Video Processing · Electrical Eng. & Systems 2022-03-09 Ariel E. Isidro , Arnel C. Fajardo , Alexander A. Hernandez

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

Colonoscopy is the standard of care technique for detecting and removing polyps for the prevention of colorectal cancer. Nevertheless, gastroenterologists (GI) routinely miss approximately 25% of polyps during colonoscopies. These misses…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Idan Kligvasser , George Leifman , Roman Goldenberg , Ehud Rivlin , Michael Elad

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

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