Robust optimization of SegNet hyperparameters for skin lesion segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11032-6.pdf
Reference44 articles.
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2. Agarwal A, Issac A, Dutta MK, et al (2017) Automated skin lesion segmentation using k-means clustering from digital dermoscopic images. In: 2017 40th international conference on telecommunications and signal processing, TSP 2017. Institute of Electrical and Electronics Engineers Inc., pp 743–748
3. Ahmed M, B SV (2019) Optimization for facial age estimation. https://doi.org/10.1007/978-3-030-27272-2_21
4. Ahn E, Bi L, Jung YH, et al (2015) Automated saliency-based lesion segmentation in dermoscopic images. Proc Annu Int Conf IEEE Eng Med Biol Soc EMBS 2015-Novem:3009–3012. https://doi.org/10.1109/EMBC.2015.7319025
5. Ahn E, Kim J, Bi L, Kumar A, Li C, Fulham M, Feng DD (2017) Saliency-based lesion segmentation via background detection in Dermoscopic images. IEEE J Biomed Heal Informatics 21:1685–1693. https://doi.org/10.1109/JBHI.2017.2653179
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