Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method-Reference-Cited by-同舟云学术

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Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method

Published:2024-07-10 Issue: Volume:27 Page:796-803
ISSN:
Container-title:2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS)
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Author:

Agalya D¹,Kamalakkannan S.²

Affiliation:

1. Vels Institute of Science, Technology & Advanced Studies,Department of Computer Science School of Computing Sciences,Chennai,India

2. School of Computing Sciences Vels Institute of Science, Technology & Advanced Studies,Department of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624685/10624738/10625600.pdf?arnumber=10625600

Reference22 articles.

1. Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging

2. Survey on theories and methods of autoencoder;Jia;Comput. Syst. Appl.,2018

3. Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study

4. A Feature-Free 30-Disease Pathological Brain Detection System by Linear Regression Classifier

5. Classification Framework for Medical Diagnosis of Brain Tumor with an Effective Hybrid Transfer Learning Model

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