Precise Identification of Anomalies in Brats MR Brain Images using Metaheuristic Optimization Techniques

Author:

Rosaline S.1,Maheswari K.2,Dhanasakkaravarthi B.3,M Vaishali4,Kannan Sathish5,Selvaraju Nandakumar6

Affiliation:

1. R.M.K. Engineering College,Department of Electronics and Communication Engineering,Kavaraipettai, Thiruvallur,Tamil Nadu,India,601206

2. CMR Technical Campus,Department of Computer Science and Engineering,Kandlakoya, Hyderabad,Telangana,India,501401

3. Agni College of Technology,Department of Mechanical Engineering,Thazhambur. Chennai,Tamil Nadu,India,603103

4. Sri Eshwar College of Engineering,Department of Computer Science and Business Systems,Coimbatore,Tamil Nadu,India,641 202

5. Saveetha School of Engineering, Saveetha Institute of Medical and Techinical Sciences,Department of VLSI Microelectronics,Chennai,Tamil Nadu,India,602105

6. Hindustan Institute of Technology and Science,Department of Automobile Engineering,Padur, Chennai,Tamil Nadu,India,603103

Publisher

IEEE

Reference14 articles.

1. Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models;Pinaya,2022

2. Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients

3. Anomaly Detection Algorithm of Cerebral Infarction CT Image Based on Data Mining;Zhang,2023

4. A Neuro-Fuzzy Approach for Anomaly Identification in Brain fMRI using K-Means Algorithm

5. Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification;Castellano

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