Research perspective and review towards brain tumour segmentation and classification using different image modalities-Reference-Cited by-同舟云学术

Research perspective and review towards brain tumour segmentation and classification using different image modalities

Published:2022-10-03 Issue: Volume: Page:1-19
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Popat Mayuri¹,Patel Sanskruti²

Affiliation:

1. U & P.U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science and Technology (CHARUSAT), Gujarat, India

2. Smt. Chandaben Mohanbhai Patel Institute of Computer Applications (CMPICA), Charotar University of Science and Technology (CHARUSAT), Gujarat, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2124546

Reference108 articles.

1. Brain tumor segmentation based on a hybrid clustering technique

2. Supervised segmentation of MRI brain images using combination of multiple classifiers

3. Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor

4. Multi-channeled MR brain image segmentation: A new automated approach combining BAT and clustering technique for better identification of heterogeneous tumors

5. BAT Algorithm With fuzzy C-Ordered Means (BAFCOM) Clustering Segmentation and Enhanced Capsule Networks (ECN) for Brain Cancer MRI Images Classification

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1. Segmentation and Detection of Brain Tumors using EfficientNetB3 Model;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

2. Classification of brain MR images based on bleed and calcification using ROI cropped U-Net segmentation and ensemble RNN classifier;International Journal of Information Technology;2023-08