Identification and Segmentation of Tumour in Brain MRI using Deep Learning Techniques-Reference-Cited by-同舟云学术

Identification and Segmentation of Tumour in Brain MRI using Deep Learning Techniques

Published:2023-03-02 Issue: Volume: Page:
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Container-title:2023 Second International Conference on Electronics and Renewable Systems (ICEARS)
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Author:

N Mahendran¹,P Muthuvel²,T Arunprasath³,M Pallikonda Rajasekaran⁴,J Bridget Nirmala⁵,R Kottaimalai⁴

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Electrical and Electronics Engineering,Krishnankoil,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Krishnankoil,Tamilnadu,India

3. Kalasalingam Academy of Research and Education,Department of Biomedical Engineering,Krishnankoil,Tamilnadu,India

4. Kalasalingam Academy of Research and Education,Department of Electronics and Communication Engineering,Krishnankoil,Tamilnadu,India

5. St. Michael Group of Institutions,Chief Executive Officer,Kalaiyarkoil,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10084918/10084923/10085383.pdf?arnumber=10085383

Reference41 articles.

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3. Application of deep transfer learning for automated brain abnormality classification using MR images;muhammed;Cognitive Systems Research,2019

4. Intracranial aneurysm segmentation in 3D CT angiography: Method and quantitative validation with and without prior noise filtering

5. Scale-adaptive super-feature based MetricUNet for brain tumor segmentation

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