Medical image data augmentation: techniques, comparisons and interpretations-Reference-Cited by-同舟云学术

Medical image data augmentation: techniques, comparisons and interpretations

Published:2023-03-20 Issue:11 Volume:56 Page:12561-12605
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Goceri Evgin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10453-z.pdf

Reference122 articles.

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2. Alshazly H, Linse C, Barth E et al (2021) Explainable covid-19 detection using chest ct scans and deep learning. Sensors 21:1–22

3. Aly GH, Marey M, El-Sayed SA, Tolba MF (2021) Yolo based breast masses detection and classification in full-field digital mammograms. Comput Methods Programs Biomed 200:105823

4. Alyafi B, Diaz O, Marti R (2020) DCGANs for realistic breast mass augmentation in X-ray mammography. IN: Medical imaging 2020: computer-aided diagnosis, International Society for Optics and Photonics, pp 1–4. https://doi.org/10.1117/12.2543506

5. Araújo T, Aresta G, Mendonça L et al (2020) Data augmentation for improving proliferative diabetic retinopathy detection in eye fundus images. IEEE Access 8:462–474

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