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Related papers: Crowd-Assisted Polyp Annotation of Virtual Colonos…

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Virtual colonoscopy (VC) allows a physician to virtually navigate within a reconstructed 3D colon model searching for colorectal polyps. Though VC is widely recognized as a highly sensitive and specific test for identifying polyps, one…

Human-Computer Interaction · Computer Science 2017-07-26 Ji Hwan Park , Seyedkoosha Mirhosseini , Saad Nadeem , Joseph Marino , Arie Kaufman , Kevin Baker , Matthew Barish

We present crowdsourcing as an additional modality to aid radiologists in the diagnosis of lung cancer from clinical chest computed tomography (CT) scans. More specifically, a complete workflow is introduced which can help maximize the…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Saeed Boorboor , Saad Nadeem , Ji Hwan Park , Kevin Baker , Arie Kaufman

We present a medical crowdsourcing visual analytics platform called C{$^2$}A to visualize, classify and filter crowdsourced clinical data. More specifically, C$^2$A is used to build consensus on a clinical diagnosis by visualizing crowd…

Computer Vision and Pattern Recognition · Computer Science 2018-10-23 Ji Hwan Park , Saad Nadeem , Seyedkoosha Mirhosseini , Arie Kaufman

Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided diagnosis (CADx) systems can enhance endoscopists' performance and…

Image and Video Processing · Electrical Eng. & Systems 2024-03-05 Carlo Biffi , Giulio Antonelli , Sebastian Bernhofer , Cesare Hassan , Daizen Hirata , Mineo Iwatate , Andreas Maieron , Pietro Salvagnini , Andrea Cherubini

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

Colorectal polyps are important precursors to colon cancer, a major health problem. Colon capsule endoscopy (CCE) is a safe and minimally invasive examination procedure, in which the images of the intestine are obtained via digital cameras…

Computer Vision and Pattern Recognition · Computer Science 2014-07-15 Alexander V. Mamonov , Isabel N. Figueiredo , Pedro N. Figueiredo , Yen-Hsi Richard Tsai

Automated colonoscopy reporting holds great potential for enhancing quality control and improving cost-effectiveness of colonoscopy procedures. A major challenge lies in the automated identification, tracking, and re-association (ReID) of…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Luca Parolari , Andrea Cherubini , Lamberto Ballan , Carlo Biffi

Measuring airways in chest computed tomography (CT) scans is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets…

Computer Vision and Pattern Recognition · Computer Science 2021-06-09 Veronika Cheplygina , Adria Perez-Rovira , Wieying Kuo , Harm A. W. M. Tiddens , Marleen de Bruijne

Measuring airways in chest computed tomography (CT) images is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but need large sets…

Computer Vision and Pattern Recognition · Computer Science 2017-06-08 Veronika Cheplygina , Adria Perez-Rovira , Wieying Kuo , Harm A. W. M. Tiddens , Marleen de Bruijne

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

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 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

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

Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp's number, size and surface structure are linked to the risk of colon cancer. Several methods have been developed to…

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these polyps complicates their detection and removal, leading to…

Colorectal polyps are abnormal tissues growing on the intima of the colon or rectum with a high risk of developing into colorectal cancer, the third leading cause of cancer death worldwide. Early detection and removal of colon polyps via…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Xinzi Sun , Dechun Wang , Chenxi Zhang , Pengfei Zhang , Zinan Xiong , Yu Cao , Benyuan Liu , Xiaowei Liu , Shuijiao Chen

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

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, location, and surface largely affect identification, localisation, and characterisation. Moreover, colonoscopic surveillance and removal…

Colorectal cancer (CRC) is a common and lethal disease. Globally, CRC is the third most commonly diagnosed cancer in males and the second in females. For colorectal cancer, the best screening test available is the colonoscopy. During a…

Image and Video Processing · Electrical Eng. & Systems 2019-09-27 Dechun Wang , Ning Zhang , Xinzi Sun , Pengfei Zhang , Chenxi Zhang , Yu Cao , Benyuan Liu

Colonoscopy is the tool of choice for preventing Colorectal Cancer, by detecting and removing polyps before they become cancerous. However, colonoscopy is hampered by the fact that endoscopists routinely miss 22-28% of polyps. While some of…

Computer Vision and Pattern Recognition · Computer Science 2020-03-31 Daniel Freedman , Yochai Blau , Liran Katzir , Amit Aides , Ilan Shimshoni , Danny Veikherman , Tomer Golany , Ariel Gordon , Greg Corrado , Yossi Matias , Ehud Rivlin
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