Brain Tumor Detection with Artificial Intelligence Method
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7346-8_41
Reference26 articles.
1. Handore S, Kokare D (2015) Performance analysis of various methods of tumor detection. In: International conference on pervasive computing (ICPC)
2. Mahmud M, Mamun M, Hussain M (2018) Comparative analysis of K-means and bisecting K-means algorithms for brain tumor detection. In: International conference on computer, communication, chemical, material and electronic engineering (IC4ME2)
3. Sachdeva J, Kumar V, Gupta I, Khandelwal N, Ahuja CK (2011) Multiclass brain tumor classification using GA-SVM. In: Developments in e-systems engineering, pp 182–187
4. Srinivas B, Rao GS (2018) Unsupervised learning algorithms for MRI brain tumor segmentation. In: Conference on signal processing and communication engineering systems (SPACES), pp 181–184
5. El Kaitouni SEI, Tairi H (2020) Segmentation of medical images for the extraction of brain tumors: a comparative study between the hidden Markov and deep learning approaches. In: International conference on intelligent systems and computer vision (ISCV)
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