Evaluation of Deep Learning Models in Search by Example using Capsule Endoscopy Images
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Publisher
Elsevier BV
Reference22 articles.
1. G. Iddan, G. Meron, A. Glukhovsky, e P. Swain, «Wireless capsule endoscopy», Nature, vol. 405, n.o 6785, Art. n.o 6785, mai. 2000, doi: 10.1038/35013140.
2. S. Soffer et al., «Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis», Gastrointestinal Endoscopy, vol. 92, n.o 4, pp. 831-839.e8, 2020, doi: https://doi.org/10.1016/j.gie.2020.04.039.
3. R. Kellerman et al., «Spatiotemporal analysis of small bowel capsule endoscopy videos for outcomes prediction in Crohn’s disease», Therapeutic Advances in Gastroenterology, jun. 2023, doi: 10.1177/17562848231172556.
4. ‘Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model’;Rustam;IEEE Access,2021
5. ‘Abnormality classification in small datasets of capsule endoscopy images’;Fonseca;Procedia Computer Science,2022
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