GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection-Reference-Cited by-同舟云学术

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection

Published:2023-11-26 Issue: Volume: Page:125-140
ISSN:0302-9743
Container-title:Machine Learning for Multimodal Healthcare Data
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Author:

Jha Debesh,Sharma Vanshali,Dasu Neethi,Tomar Nikhil Kumar,Hicks Steven,Bhuyan M. K.,Das Pradip K.,Riegler Michael A.,Halvorsen Pål,Bagci Ulas,de Lange Thomas

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47679-2_10

Reference27 articles.

1. Abadir, A.P., Ali, M.F., Karnes, W., Samarasena, J.B.: Artificial intelligence in gastrointestinal endoscopy. Clin. Endosc. 53(2), 132–141 (2020)

2. Ahn, S.B., Han, D.S., Bae, J.H., Byun, T.J., Kim, J.P., Eun, C.S.: The miss rate for colorectal adenoma determined by quality-adjusted, back-to-back colonoscopies. Gut Liver 6(1), 64 (2012)

3. Ali, S., et al.: Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Med. Image Anal. 70, 102002 (2021)

4. Ali, S., et al.: Endoscopy disease detection challenge 2020. arXiv preprint arXiv:2003.03376 (2020)

5. Ali, S., et al.: A multi-centre polyp detection and segmentation dataset for generalisability assessment. Sci. Data 10(1), 75 (2023)

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