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Glioma brain tumor detection using dual convolutional neural networks and histogram density segmentation algorithm

  • Published:2023-08 Issue: Volume:85 Page:104859
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Sarala B.,Sumathy G.,Kalpana A.V.,Jasmine Hephzipah J.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference17 articles.

1. Improving brain tumor segmentation on MRI based on the deep U-net and residual units;Yang;J. Xray Sci. Technol.,2020

2. Brain tumor segmentation from MRI images using hybrid convolutional neural networks;Daimary;Procedia Comput. Sci.,2020

3. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

4. Advancing the cancer genome atlas glioma MRI collectios with expert segmentation labels and radiomic features;Bakas;Sci. Data,2017

5. Brain tumour segmentation with deep neural networks;Havaei;Med. Image Anal.,2017

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