Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers-Reference-Cited by-同舟云学术

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers

Published:2022 Issue: Volume: Page:30-49
ISSN:0302-9743
Container-title:Diabetic Foot Ulcers Grand Challenge
language:
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Author:

Bloch Louise^ORCID,Brüngel Raphael^ORCID,Friedrich Christoph M.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-94907-5_3

Reference40 articles.

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2. Buslaev, A., Iglovikov, V.I., Khvedchenya, E., Parinov, A., Druzhinin, M., Kalinin, A.A.: Albumentations: fast and flexible image augmentations. Information 11(2), 125 (2020). https://doi.org/10.3390/info11020125

3. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679–698 (1986). https://doi.org/10.1109/tpami.1986.4767851

4. Cassidy, B., et al.: Diabetic foot ulcer grand challenge 2021: evaluation and summary. arXiv preprint arXiv:2111.10376 (2021)

5. Das, S.K., Roy, P., Mishra, A.K.: DFU_SPNet: a stacked parallel convolution layers based CNN to improve diabetic foot ulcer classification. ICT Express (2021). https://doi.org/10.1016/j.icte.2021.08.022

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