Výsledky vyhledávání - "Peter H.N. De With"

Akademický článek

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

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Akademický článek

Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos

Autor: Joost van der Putten, Maarten Struyvenberg, Jeroen de Groof, Wouter Curvers, Erik Schoon, Francisco Baldaque-Silva, Jacques Bergman, Fons van der Sommen, Peter H.N. de With

Publikováno v: Applied Sciences, Vol 10, Iss 10, p 3407 (2020)

Endoscopic diagnosis of early neoplasia in Barrett’s Esophagus is generally a two-step process of primary detection in overview, followed by detailed inspection of any visible abnormalities using Narrow Band Imaging (NBI). However, endoscopists str

Externí odkaz: https://doaj.org/article/d32130ee93344c02b3609fd633504f8e

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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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Akademický článek

Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound

Autor: Yang, Hongxu, Shan, Caifeng, Kolen, Alexander F., With, Peter H.N. de

Publikováno v: In Computerized Medical Imaging and Graphics March 2022 96

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Mask-MCNet

Autor: Farhad Ghazvinian Zanjani, Arash Pourtaherian, Svitlana Zinger, David Anssari Moin, Frank Claessen, Teo Cherici, Sarah Parinussa, Peter H.N. de With

Publikováno v: Neurocomputing, 453, 286-298. Elsevier

Computational dentistry uses computerized methods and mathematical models for dental image analysis. One of the fundamental problems in computational dentistry is accurate tooth instance segmentation in high-resolution mesh data of intra-oral scans (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c41290c681517b1abba673c47c8087fb
http://www.scopus.com/inward/record.url?scp=85101324432&partnerID=8YFLogxK

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Advanced Imaging and Sampling in Barrett’s Esophagus

Autor: Maarten R. Struyvenberg, Albert J. de Groof, Jacques J. Bergman, Fons van der Sommen, Peter H.N. de With, Vani J.A. Konda, Wouter L. Curvers

Publikováno v: Gastrointestinal Endoscopy Clinics of North America. 31:91-103

Because the current Barrett's esophagus (BE) surveillance protocol suffers from sampling error of random biopsies and a high miss-rate of early neoplastic lesions, many new endoscopic imaging and sampling techniques have been developed. None of these

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54b3daa02eee64fc90e6e377a934dbd4
https://doi.org/10.1016/j.giec.2020.08.006

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Identification of patients at risk of cardiac conduction diseases requiring a permanent pacemaker following TAVI procedure: a deep-learning approach on ECG signals

Autor: Marco Mamprin, Jo M. Zelis, Pim A.L. Tonino, Svitlana Zinger, Peter H.N. De With

Publikováno v: Proceedings of the 12th International Conference on Biomedical Engineering and Technology.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::49a9fb175918fc603eee7920a4df2ede
https://doi.org/10.1145/3535694.3535708

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Optimizing Train-Test Data for Person Re-Identification in Real-World Applications

Autor: Herman G.J. Groot, Tunc Alkanat, Egor Bondarev, Peter H.N. de With

Publikováno v: ICMVA 2022-5th International Conference on Machine Vision and Applications, 67-75
STARTPAGE=67;ENDPAGE=75;TITLE=ICMVA 2022-5th International Conference on Machine Vision and Applications

Person re-identification (re-ID) aims to recognize an identity in non-overlapping camera views. Recently, re-ID received increased attention due to the growth of deep learning and its prominent applications in the field of automated video surveillanc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33fef4367446bceb27b7e6eb30151c64
https://research.tue.nl/nl/publications/4fb8431d-9662-401f-aed1-be63f1bfc38e

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