S
Sveta Zinger
Researcher at Eindhoven University of Technology
Publications - 13
Citations - 523
Sveta Zinger is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Video quality & Real-time rendering. The author has an hindex of 7, co-authored 13 publications receiving 344 citations.
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Journal ArticleDOI
Deep-Learning System Detects Neoplasia in Patients With Barrett's Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking.
Albert J. de Groof,Maarten R. Struyvenberg,Joost van der Putten,Fons van der Sommen,Kiki Fockens,Wouter L. Curvers,Sveta Zinger,Roos E. Pouw,Emmanuel Coron,Francisco Baldaque-Silva,Oliver Pech,Bas L. Weusten,Alexander Meining,Horst Neuhaus,Raf Bisschops,John Dent,Erik J. Schoon,Jacques J. Bergman +17 more
TL;DR: A deep-learning computer-aided detection system suitable for use in real time in clinical practice, to improve endoscopic detection of early neoplasia in patients with Barrett's esophagus was developed and validated.
Journal ArticleDOI
Computer-aided detection of early Barrett's neoplasia using volumetric laser endomicroscopy.
Anne-Fré Swager,Fons van der Sommen,Sander R. Klomp,Sveta Zinger,Sybren L. Meijer,Erik J. Schoon,Jacques J. Bergman,Wouter L. Curvers +7 more
TL;DR: This is the first study in which a computer algorithm for BE neoplasia was developed based on VLE images with direct histologic correlates, and it is suggested that an automatic detection algorithm has the potential to assist endoscopists in detecting early neoperasia on Vle.
Journal ArticleDOI
The Argos project: The development of a computer-aided detection system to improve detection of Barrett's neoplasia on white light endoscopy:
Jeroen de Groof,Fons van der Sommen,Joost van der Putten,Maarten R. Struyvenberg,Sveta Zinger,Wouter L. Curvers,Oliver Pech,Alexander Meining,Horst Neuhaus,Raf Bisschops,Erik J. Schoon,Jacques J. Bergman +11 more
TL;DR: This uniquely trained and validated CAD system detected and localized early Barrett's neoplasia on WLE images with high accuracy and is an important step towards real-time automated detection of Barrett'sNeoplasia.
Journal ArticleDOI
Deep learning algorithm detection of Barrett's neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video).
Albert J. de Groof,Maarten R. Struyvenberg,Kiki Fockens,Joost van der Putten,Fons van der Sommen,Tim Boers,Sveta Zinger,Raf Bisschops,Roos E. Pouw,Wouter L. Curvers,Erik J. Schoon,Jacques J. Bergman +11 more
TL;DR: This is one of the first studies to evaluate a CAD system for Barrett's neoplasia with high accuracy, with only a small number of false-positive predictions, and with a high concordance rate between separate predictions.
Proceedings ArticleDOI
Automatic Detection of Early Esophageal Cancer with CNNS Using Transfer Learning
TL;DR: A novel approach for early esophageal cancer detection using Transfer Learning with CNNs, which outperforms the current state-of-the-art with a frame-based AUC of 0.92, while allowing both near real-time prediction and annotation at 2 fps, in a MATLAB-based framework.