A comparative study of brain tumor classification on unbalanced dataset using deep neural networks-Reference-Cited by-同舟云学术

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A comparative study of brain tumor classification on unbalanced dataset using deep neural networks

Published:2024-08 Issue: Volume:94 Page:106256
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Agrawal Tarun^ORCID,Choudhary Prakash,Kumar Vijay,Singh Prabhishek,Diwakar Manoj,Kumar Sandeep

Publisher

Elsevier BV

Reference47 articles.

1. An intelligent driven deep residual learning framework for brain tumor classification using MRI images;Mehnatkesh;Expert Syst. Appl.,2023

2. Content-based brain tumor retrieval for MR images using transfer learning;Swati;IEEE Access,2019

3. Imagenet classification with deep convolutional neural networks;Krizhevsky;Commun. ACM,2017

4. ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest X-rays;Agrawal;Biomed. Signal Process. Control,2023

5. DFU_SPNet: A stacked parallel convolution layers based CNN to improve diabetic foot ulcer classification;Das;ICT Express,2022

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