A Large-Scale Multivariate Features-Based Classification of Brain Hemorrhage Using Machine Learning Algorithms

Author:

Malik Payal,Vidyarthi Ankit

Publisher

Springer Nature Singapore

Reference14 articles.

1. Vidyarthi A, Agarwal R, Gupta D, Sharma R, Draheim D, Tiwari P (2022) Machine learning assisted methodology for multiclass classification of malignant brain tumors. IEEE Access

2. McGurgan IJ, Ziai WC, Werring DJ, Salman RAS, Parry-Jones AR (2021) Acute intracerebral haemorrhage: diagnosis and management. Pract Neurol 21(2):128–136

3. Vidyarthi A, Agarwal P, Mittal N (2014) Machine learning based classification of high grade malignant brain tumors using diverse feature set. In: 2nd international conference on advances in computing and information technology (ICACIT)

4. Zhang J, Qi H, Ji Y, Ren Y, He M, Mingxu S, Cai X (2021) Nonlinear acoustic tomography for measuring the temperature and velocity fields by using the covariance matrix adaptation evolution strategy algorithm. IEEE Trans Inst Meas 71:1–14

5. Pisner DA, Schnyer DM (2020) Support vector machine. In: Machine learning. Elsevier, pp 101–121

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