Image Analysis of MRI-based Brain Tumor Classification and Segmentation using BSA and RELM Networks
- Title
- Image Analysis of MRI-based Brain Tumor Classification and Segmentation using BSA and RELM Networks
- Creator
- Saranya R.; Pushpakumar R.; Srinivasan P.; Aparna N.; Karthika K.; Chauhan A.
- Description
- Brain tumor segmentation plays a crucial role in medical image analysis. Brain tumor patients considerably benefit from early discovery due to the increased likelihood of a successful outcome from therapy. Due to the sheer volume of MRI images generated in everyday clinical practice, manually isolating brain tumors for cancer diagnosis is a challenging task. Automatic segmentation of images of brain tumors is essential. This system aimed to synthesize previous methods for BSA-RELM-based brain tumor segmentation. The proposed methodology rests on four fundamental pillars: preprocessing, segmentation, feature extraction, and model training. Filtering, scaling, boosting contrast, and sharpening are all examples of preprocessing techniques. When doing segmentation, a clustering technique based on Fuzzy Clustering Means (FCM) is used to breakdown the overall dataset into numerous subsets. The proposed approach used the region of filling for feature extraction. After that, a BSA-RELM is used to train the models with the input features. The proposed technique outperforms BSA and RELM, two of the most common alternatives. There was a 98.61 percent success rate with the recommended method. 2023 IEEE.
- Source
- 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 523-528.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Brain Tumor Segmentation; Central Nervous System (CNS); FuzzyClustering Method (FCM)
- Coverage
- Saranya R., Department of Computer science with Data Analytics, PSG College of Arts and Science, Coimbatore, India; Pushpakumar R., Department of Information Technology, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamil Nadu, Chennai, India; Srinivasan P., Department of ECE, Sona College of Technology, Tamilnadu, Salem, India; Aparna N., Department of Biomedical Engineering, Dhaanish Ahmed Institute of Technology, Tamil Nadu, Veerappanur, India; Karthika K., Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Chauhan A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be university), Karnataka, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835034023-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Saranya R.; Pushpakumar R.; Srinivasan P.; Aparna N.; Karthika K.; Chauhan A., “Image Analysis of MRI-based Brain Tumor Classification and Segmentation using BSA and RELM Networks,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19732.