Fuzzy modified cuckoo search for biomedical image segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-022-01659-8.pdf
Reference58 articles.
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2. Zhang R, Chung ACS (2021) MedQ: lossless ultra-low-bit neural network quantization for medical image segmentation. Med Image Anal 73:102200. https://doi.org/10.1016/J.MEDIA.2021.102200
3. Liu Q, Chen C, Qin J et al (2021) FedDG: federated domain generalization on medical image segmentation via episodic learning in continuous frequency space, pp 1013–1023
4. Gao Y, Zhou M, Metaxas DN (2021) UTNet: a hybrid transformer architecture for medical image segmentation, pp 61–71. https://doi.org/10.1007/978-3-030-87199-4_6
5. Wang K, Zhan B, Zu C et al (2021) Tripled-uncertainty guided mean teacher model for semi-supervised medical image segmentation, pp 450–460. https://doi.org/10.1007/978-3-030-87196-3_42
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