Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm
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/s11042-022-11949-6.pdf
Reference61 articles.
1. Abdel-Basset M et al (2020) A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection. Expert Syst Appl 139:112824. https://doi.org/10.1016/j.eswa.2019.112824
2. Abualigah L, Diabat A, Mirjalili S, Elaziz MA, Gandomi AH (2021) The arithmetic optimization algorithm. Comput Methods Appl Mech Eng 376:113607
3. Adams R, Bischof L (1994) Seeded region growing. IEEE Trans Pattern Anal Mach Intell 16(6):641–647
4. Al-Tashi Q et al (2020) Binary multi-objective grey wolf optimizer for feature selection in classification. IEEE Access 8:106247–106263
5. Almaraz-Damian J-A, Ponomaryov V, Sadovnychiy S, Castillejos-Fernandez H (2020) Melanoma and nevus skin lesion classification using handcraft and deep learning feature fusion via mutual information measures. Entropy 22:484
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