Zobrazeno 1 - 10 of 15 pro vyhledávání: '"Thom Scheeve"'
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Akademický článek
Ensemble of Deep Convolutional Neural Networks for Classification of Early Barrett’s Neoplasia Using Volumetric Laser Endomicroscopy
Autor: Roger Fonollà, Thom Scheeve, Maarten R. Struyvenberg, Wouter L. Curvers, Albert J. de Groof, Fons van der Sommen, Erik J. Schoon, Jacques J.G.H.M. Bergman, Peter H.N. de With
Publikováno v: Applied Sciences, Vol 9, Iss 11, p 2183 (2019)
Barrett’s esopaghagus (BE) is a known precursor of esophageal adenocarcinoma (EAC). Patients with BE undergo regular surveillance to early detect stages of EAC. Volumetric laser endomicroscopy (VLE) is a novel technology incorporating a second-gene
Externí odkaz: https://doaj.org/article/54b41933811b42ef8c67aec6e86532e5
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2
Automatic textual description of colorectal polyp features: explainable artificial intelligence
Autor: Ayla Thijssen, Ramon-Michel r Schreuder, Roger Fonollà, Quirine van der Zander, Thom Scheeve, Bjorn Winkens, Sharmila Subramaniam, Pradeep Bhandari, Peter de With, Ad Masclee, Fons van der Sommen, Erik Schoon
Publikováno v: Endoscopy International Open. 11:E513-E518
Computer-aided diagnosis systems (CADx) can improve colorectal polyp (CRP) optical diagnosis. For integration into clinical practice, better understanding of artificial intelligence (AI) by endoscopists is needed. We aimed to develop an explainable A
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78693934326892bde71b1025671bb2f7
https://doi.org/10.1055/a-2071-6652
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5
Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis
Autor: Ramon M. Schreuder, Quirine E. W. van der Zander, Roger Fonollà, Thom Scheeve, Fons van der Sommen, Bjorn Winkens, Patrick Aepli, Bu'Hussain Hayee, Andreas B. Pischel, Milan Stefanovic, Sharmila Subramaniam, Pradeep Bhandari, Peter H. N. de With, Ad A. M. Masclee, Erik J. Schoon
Publikováno v: Endoscopy, 53(12), 1219-1226. Georg Thieme Verlag
Endoscopy, 53(12), 1219-1226. Georg Thieme Verlag KG
Background Optical diagnosis of colorectal polyps remains challenging. Image-enhancement techniques such as narrow-band imaging and blue-light imaging (BLI) can improve optical diagnosis. We developed and prospectively validated a computer-aided diag
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53b8d73b74f7dc0a246f497b15de70c5
https://research.tue.nl/en/publications/9bebd6c5-0c34-4550-8f9c-5f412b79e12e
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7
Colorectal polyp classification using confidence-calibrated convolutional neural networks
Autor: Koen C. Kusters, Thom Scheeve, Nikoo Dehghani, Quirine E. van der Zander, Ramon-Michel Schreuder, Ad A. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H. N. de With
Publikováno v: Medical Imaging 2022: Computer-Aided Diagnosis, 442-454
STARTPAGE=442;ENDPAGE=454;TITLE=Medical Imaging 2022
Computer-Aided Diagnosis (CADx) systems for in-vivo characterization of Colorectal Polyps (CRPs) which are precursor lesions of Colorectal Cancer (CRC), can assist clinicians with diagnosis and better informed decisionmaking during colonoscopy proced
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2ce18f5ec85aca605313b744ca6a97c
https://research.tue.nl/nl/publications/364511c7-4998-420b-bb8c-3ef79973b119
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Classification and regression tree and computer adaptive testing in cardiac rehabilitation
Autor: Thom Scheeve, Monique W. M. Jaspers, Linda W. P. Peute
Publikováno v: Journal of Medical Internet Research
Journal of medical Internet research, 22(1):e12509. Journal of medical Internet Research
Journal of Medical Internet Research, 22(1):e12509. JMIR Publications
Background There is a need for shorter-length assessments that capture patient questionnaire data while attaining high data quality without an undue response burden on patients. Computerized adaptive testing (CAT) and classification and regression tr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77adaf6524bf7067c200c5ae09a8b174
https://doi.org/10.2196/12509
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10
Image Features for Automated Colorectal Polyp Classification Based on Clinical Prediction Models
Autor: Michelle C. A. van Grinsven, Thom Scheeve, Ramon-Michel Schreuder, Fons van der Sommen, Erik J. Schoon, Peter H. N. de With
Publikováno v: 2019 IEEE International Conference on Image Processing, ICIP 2019-Proceedings, 210-214
STARTPAGE=210;ENDPAGE=214;TITLE=2019 IEEE International Conference on Image Processing, ICIP 2019-Proceedings
ICIP
Accurate endoscopic differentiation on resection of colorectal polyps (CRPs) (resect-discard or diagnose-leave strategies) increases cost-efficiency and reduces patient risk. We aim to develop a classification algorithm for automated differentiation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaf8ed3a2ebf0a99b7a1609fbddc9623
https://research.tue.nl/nl/publications/f98037c7-d8af-48cc-8638-069493ed91af
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