Computer-aided system for bleeding detection in WCE images based on CNN-GRU network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16305-w.pdf
Reference41 articles.
1. Amiri Z, Hassanpour H, Beghdadi A (2022) Feature extraction for abnormality detection in capsule endoscopy images. Biomed Signal Processing and Control 71:103219
2. Amiri Z, Hassanpour H, Beghdadi A (2019) A computer-aided method to detect bleeding frames in capsule endoscopy images. In: 2019 8th European Workshop on Visual Information Processing (EUVIP), IEEE, pp 217–221
3. Amiri Z, Hassanpour H, Beghdadi A (2019) Feature selection for bleeding detection in capsule endoscopy images using genetic algorithm. In: 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), IEEE, pp 1–4
4. Amiri Z, Hassanpour H, Beghdadi A (2021) A computer-aided method for digestive system abnormality detection in wce images. J Healthc Engineering 2021
5. Aoki T, Yamada A, Kato Y, Saito H, Tsuboi A, Nakada A, Niikura R, Fujishiro M, Oka S, Ishihara S et al (2020) Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network. J Gastroenterol Hepatol 35(7):1196–1200
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