Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-020-00551-0.pdf
Reference36 articles.
1. STROKE: http://www.world-stroke.org/
2. Thanaraj P, Parvathavarthini B (2017) Multichannel interictal spike activity detection using time–frequency entropy measure. Australas Phys Eng Sci Med 40(2):413–425
3. Rajinikanth V, Satapathy SC (2018) Segmentation of Ischemic Stroke Lesion in brain MRI based on social group optimization and fuzzy-Tsallis entropy. Arab J Sci Eng 43:4365–4378
4. Rajinikanth V, Palani TK, Satapathy SC, Fernandes SL, Dey N (2019) Shannon’s entropy and watershed algorithm based technique to inspect ischemic stroke wound. Smart Innov Syst Technol 105:23–31
5. Kanchana R, Menaka R (2015) Computer reinforced analysis for ischemic stroke recognition: a review. Indian J Sci Technol 8(35):81006
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