A novel approach for neural networks based diagnosis and grading of stroke in tumor-affected brain MRIs-Reference-Cited by-同舟云学术

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A novel approach for neural networks based diagnosis and grading of stroke in tumor-affected brain MRIs

Published:2023-06-23 Issue:3 Volume:34 Page:190-220
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Krishnamoorthy Somasundaram¹,Paulraj Sivakumar²,Selvaraj Nagendra Prabhu³,Ragupathy Balakumaresan⁴,Arumugam Selvapandian⁴

Affiliation:

1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

2. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

3. Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India

4. Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India

Funder

no funding

Publisher

Informa UK Limited

Subject

Neuroscience (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2023.2225601

Reference55 articles.

1. Brain Tumor Detection and Classification on MR Images by a Deep Wavelet Auto-Encoder Model

2. A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning

3. Fully automatic model‐based segmentation and classification approach for MRI brain tumor using artificial neural networks

4. The effect of age of first exposure to competitive fighting on cognitive and other neuropsychiatric symptoms and brain volume

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1. Central nervous system regulation of diffuse glioma growth and invasion: from single unit physiology to circuit remodeling;Journal of Neuro-Oncology;2024-06-04

2. A Smart Device Employs Vgg-16 to Identify Brain Stroke Using CT Scan Images;2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS);2023-11-03

3. First‐principles Assessment of the Role of Water in the Reduction Half Cycle of Low‐Temperature NH₃‐SCR over Cu‐CHA;ChemCatChem;2023-08-15

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