Review of Metaheuristic Optimization Technique for Tumor Detection from Brain MR Images
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7330-6_1
Reference30 articles.
1. Emrah H, Celal O, Dervis K (2013) Extractıon of brain tumors from MRI images with Artificial Bee Colony based segmentation methodology, pp 516–520
2. Lee M, Kim S, Cho W, Park S, Lim J (2009) Segmentation of brain MR images using an Ant Colony Optimization algorithm, pp 4–7. https://doi.org/10.1109/BIBE.2009.58
3. Priyadharshini C, Nithysri V, Pavithra G, Madhava Raja N (2017) Contrast enhanced brain tumor segmentation based on Shannon’s entropy and active contour. Third International Conference on Biosignals, Images and Instrumentation (ICBSII), 16–18 Mar 2017
4. Ben George E (2015) Brain tumor segmentation using Cuckoo search optimization for magnetic resonance images, pp 1–4
5. Ramadas M (2019) Detecting tumours by segmenting MRI images using transformed differential evolution algorithm with Kapur’s thresholding. Neural Comput Appl. https://doi.org/10.1007/s00521-019-04104-0
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