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   Articles with "polyp detection" as a keyword



An automatic gastric polyp detection technique using deep learning

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recommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.22850

Abstract: Over the last few years, researchers have focused on computer‐aided polyp detection in gastroscopy. Deep learning (DL) has shown great promise for polyps' identification. The most exceptional contribution of DL methods in gastroenterology is their… read more here.

Keywords: map; polyp detection; feature; detection ... See more keywords

Tiny polyp detection from endoscopic video frames using vision transformers

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recommendations! Published in 2024 at "Pattern Analysis and Applications"

DOI: 10.1007/s10044-024-01254-3

Abstract: Deep learning techniques can be effective in helping doctors diagnose gastrointestinal polyps. Currently, processing video frame sequences containing a large amount of spurious noise in polyp detection suffers from elevated recall and mean average precision.… read more here.

Keywords: detection; video; detection endoscopic; polyp detection ... See more keywords

A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans

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recommendations! Published in 2017 at "International Journal of Computer Assisted Radiology and Surgery"

DOI: 10.1007/s11548-017-1521-9

Abstract: PurposeComputer-aided detection (CAD) systems are developed to help radiologists detect colonic polyps over CT scans. It is possible to reduce the detection time and increase the detection accuracy rates by using CAD systems. In this… read more here.

Keywords: polyp detection; detection; cad system; cad ... See more keywords

An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.

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recommendations! Published in 2021 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2021.105031

Abstract: Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate. Colonoscopy is the gold standard for CRC screening and significantly reduces CRC mortality. However, due to many factors, the… read more here.

Keywords: polyp detection; detection; using negative; real time ... See more keywords
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Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta-analysis.

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recommendations! Published in 2020 at "Gastrointestinal endoscopy"

DOI: 10.1016/j.gie.2020.06.059

Abstract: BACKGROUND AND AIMS One fourth of colorectal neoplasia is missed at screening colonoscopy, representing the main cause of interval colorectal cancer (CRC). Deep learning systems with real-time computer-aided polyp detection (CADe) showed high accuracy in… read more here.

Keywords: detection; colonoscopy; polyp detection; colorectal neoplasia ... See more keywords

Polyp detection and false positive rates by computer-aided analysis of withdrawal phase videos of colonoscopy of right colon segment in a randomized controlled trial comparing water exchange and air insufflation.

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recommendations! Published in 2021 at "Gastrointestinal endoscopy"

DOI: 10.1016/j.gie.2021.12.020

Abstract: BACKGROUND AND AIMS Water exchange (WE) improves lesion detection but misses polyps due to human limitations. Computer-aided detection (CADe) identifies additional polyps overlooked by the colonoscopist. Additional polyp detection rate (APDR) is the proportion of… read more here.

Keywords: cade; detection; air; polyp detection ... See more keywords

A prospective multicenter randomized controlled trial on artificial intelligence assisted colonoscopy for enhanced polyp detection

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-77079-1

Abstract: Colon polyp detection and removal via colonoscopy are essential for colorectal cancer screening and prevention. This study aimed to develop a colon polyp detection program based on the RetinaNet algorithm and verify its clinical utility.… read more here.

Keywords: detection; program; randomized controlled; polyp detection ... See more keywords

Proximal serrated polyp detection rate and post-colonoscopy colorectal cancer: the missing link

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recommendations! Published in 2023 at "Endoscopy"

DOI: 10.1055/a-2003-1068

Abstract: the rectosigmoid are not taken into account, and preferable over the sessile serrated lesion detection rate, as the PSPDR is not biased by the interobserver variation among pa-thologists in the recognition of sessile serrated lesions.… read more here.

Keywords: serrated polyp; detection rate; polyp detection; detection ... See more keywords

A video based benchmark data set (ENDOTEST) to evaluate computer-aided polyp detection systems

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recommendations! Published in 2022 at "Scandinavian Journal of Gastroenterology"

DOI: 10.1080/00365521.2022.2085059

Abstract: Abstract Background and aims Computer-aided polyp detection (CADe) may become a standard for polyp detection during colonoscopy. Several systems are already commercially available. We report on a video-based benchmark technique for the first preclinical assessment… read more here.

Keywords: polyp detection; video based; detection; cade ... See more keywords

Polyps are detected more often in early colonoscopies.

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recommendations! Published in 2023 at "Scandinavian journal of gastroenterology"

DOI: 10.1080/00365521.2023.2202293

Abstract: OBJECTIVE To examine the time variation in polyp detection for colonoscopies performed in a tertiary hospital and to explore independent factors that predict polyp detection rate (PDR). METHODS Data on all patients who underwent colonoscopy… read more here.

Keywords: day; polyp detection; often early; polyps detected ... See more keywords

Efficient polyp detection algorithm based on deep learning

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recommendations! Published in 2025 at "Scandinavian Journal of Gastroenterology"

DOI: 10.1080/00365521.2025.2503297

Abstract: Abstract Objective Colon polyp detection is crucial in reducing the incidence of colorectal cancer. However, due to the diverse morphology of colon polyps, their high similarity to surrounding tissues, and the difficulty of detecting small… read more here.

Keywords: detection; deep learning; efficient polyp; colon ... See more keywords