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New concept for colonoscopy including side optics and artificial intelligence

, , , , , , , and . Gastrointestinal Endoscopy, 95 (4): 794--798 (2022)

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Semi-automatische Segmentierung von Schädigungszonen in post-interventionellen CT-Daten., , , , , , , , , and 8 other author(s). Bildverarbeitung für die Medizin, page 281-286. Springer, (2015)Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions, , , , , , , and . United European Gastroenterology Journal, 10 (5): 477--484 (2022)Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies, , , , , , , , and . Digestion, 103 (5): 378--385 (2022)A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks., , , , , , , , , and . J. Imaging, 9 (2): 26 (2023)Automated classification of polyps using deep learning architectures and few-shot learning., , , , , , and . BMC Medical Imaging, 23 (1): 59 (December 2023)New concept for colonoscopy including side optics and artificial intelligence, , , , , , , and . Gastrointestinal Endoscopy, 95 (4): 794--798 (2022)Fast Machine Learning Annotation in the Medical Domain: A Semi-Automated Video Annotation Tool for Gastroenterologists, , , , , , , and . BioMedical Engineering OnLine, (2021)Automated classification of polyps using deep learning architectures and few-shot learning, , , , , , and . (2022)