An efficient approach for detecting brain tumors using a modified artificial neural network-Reference-Cited by-同舟云学术

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An efficient approach for detecting brain tumors using a modified artificial neural network

Published:2023-08-28 Issue:6 Volume:11 Page:2547-2559
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Jayachandran S.¹,Miriam A Jemshia²

Affiliation:

1. Department of Computer Application, Faculty of Science and Humanities, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu, India

2. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2245069

Reference48 articles.

1. CoAID-DEEP: An Optimized Intelligent Framework for Automated Detecting COVID-19 Misleading Information on Twitter

2. Detecting and Classifying Fetal Brain Abnormalities Using Machine Learning Techniques

3. Deep CNN-based feature extraction with optimised LSTM for enhanced diabetic retinopathy detection

4. Classificatin of Brain Tumors by Machine Learning Algorithms

5. Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

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