Algorithm combining virtual chromoendoscopy features for colorectal polyp classification

Autor: Ramon-Michel Schreuder, Qurine E.W. van der Zander, Roger Fonollà, Lennard P.L. Gilissen, Arnold Stronkhorst, Birgitt Klerkx, Peter H.N. de With, Ad M. Masclee, Fons van der Sommen, Erik J. Schoon

Publikováno v: Endoscopy International Open, Vol 09, Iss 10, Pp E1497-E1503 (2021)

Background and study aims Colonoscopy is considered the gold standard for decreasing colorectal cancer incidence and mortality. Optical diagnosis of colorectal polyps (CRPs) is an ongoing challenge in clinical colonoscopy and its accuracy among endos

Externí odkaz: https://doaj.org/article/38d33a6d48cf49308b8eb213b7e47fff

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

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

Real-time classification of colorectal polyps using artificial intelligence – a prospective pilot study comparing two computer-aided diagnosis systems and one expert endoscopist

Autor: Quirine E. van der Zander, Ramon-Michel Schreuder, Ayla Thijssen, Koen C. Kusters, Nikoo Dehghani, Thom Scheeve, Roger Fonollà, Bjorn Winkens, Mirjam V. Ende, P.H.N. De With, Fons Van Der Sommen, Ad Masclee, Erik.J. Schoon

Publikováno v: Gastrointestinal Endoscopy. 95(6):AB250-AB251

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::063fe5d679e8be886979566d6e1a4852
https://doi.org/10.1016/j.gie.2022.04.651

Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett's neoplasia

Autor: Maarten R. Struyvenberg, Albert J. de Groof, Roger Fonollà, Fons van der Sommen, Peter H.N. de With, Erik J. Schoon, Bas L.A.M. Weusten, Cadman L. Leggett, Allon Kahn, Arvind J. Trindade, Eric K. Ganguly, Vani J.A. Konda, Charles J. Lightdale, Douglas K. Pleskow, Amrita Sethi, Michael S. Smith, Michael B. Wallace, Herbert C. Wolfsen, Gary J. Tearney, Sybren L. Meijer, Michael Vieth, Roos E. Pouw, Wouter L. Curvers, Jacques J. Bergman

Publikováno v: Gastrointestinal endoscopy, 93(4), 871-879. Mosby Inc.
Gastrointestinal Endoscopy, 93(4), 871-879. Mosby Inc.
Gastrointestinal Endoscopy
Struyvenberg, M R, de Groof, A J, Fonollà, R, van der Sommen, F, de With, P H N, Schoon, E J, Weusten, B L A M, Leggett, C L, Kahn, A, Trindade, A J, Ganguly, E K, Konda, V J A, Lightdale, C J, Pleskow, D K, Sethi, A, Smith, M S, Wallace, M B, Wolfsen, H C, Tearney, G J, Meijer, S L, Vieth, M, Pouw, R E, Curvers, W L & Bergman, J J 2021, ' Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett's neoplasia ', Gastrointestinal Endoscopy, vol. 93, no. 4, pp. 871-879 . https://doi.org/10.1016/j.gie.2020.07.052
Gastrointestinal Endoscopy, 93(4), 871-879. Elsevier

Background and Aims Volumetric laser endomicroscopy (VLE) is an advanced imaging modality used to detect Barrett’s esophagus (BE) dysplasia. However, real-time interpretation of VLE scans is complex and time-consuming. Computer-aided detection (CAD

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d31f3ce5bf188c15abfd7594d36704
https://pure.amc.nl/en/publications/prospective-development-and-validation-of-a-volumetric-laser-endomicroscopy-computer-algorithm-for-detection-of-barretts-neoplasia(c33dc576-5819-48cf-b367-833fa8e934e7).html