Medical image segmentation model based on caputo fractional differential
Author:
Funder
Innovation Team Support Program of Liaoning Higher Education Department
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/s11042-023-17872-8.pdf
Reference34 articles.
1. Feng KD, Wang Z, Yang Y (2020) Development of medical imaging sensors. Int J Distrib Sensor Networks 16(1):1550147720903607. https://doi.org/10.1177/1550147720903607
2. Sadoughi F, Kazemy Z, Hamedan F et al (2018) Artificial intelligence methods for the diagnosis of breast cancer by image processing: A review. Breast Cancer: Targets Ther 10:219–230
3. Kaur E (2021) Artificial intelligence techniques for cancer detection in medical image processing: A review. Turk J Comput Math Educ (TURCOMAT) 12(2):2667–2673
4. Ramesh K, Kumar GK, Swapna K et al (2021) A review of medical Image segmentation algorithms. EAI Endorsed Trans Pervasive Health Technol 7(27):e6–e6. https://doi.org/10.4108/eai.12-4-2021.169184
5. Khin T, Raju KS, Sinha GR et al (2020) Review of optimization methods of medical image segmentation. Adv Intell Syst Comput 1090(1):213–218
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