Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches
The detection of neurological disorders and diseases is aided by automatically identifying brain tumors from brain magnetic resonance imaging (MRI) images. A brain tumor is a potentially fatal disease that affects humans. Convolutional neural networks (CNNs) are the most common and widely used deep...
Main Authors: | Chetan Swarup, Kamred Udham Singh, Ankit Kumar, Saroj Kumar Pandey, Neeraj varshney, Teekam Singh |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-03-01
|
Series: | Electronic Research Archive |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/era.2023146?viewType=HTML |
Similar Items
-
Monitoring the Change Process of Banana Freshness by GoogLeNet
by: Jiangong Ni, et al.
Published: (2020-01-01) -
The Recognition Algorithm of Two-Phase Flow Patterns Based on GoogLeNet+5 Coord Attention
by: Jinsong Zhang, et al.
Published: (2023-02-01) -
AlexNet-Based Feature Extraction for Cassava Classification: A Machine Learning Approach
by: Miftahus Sholihin, et al.
Published: (2023-12-01) -
Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet
by: Aqsa Rasheed, et al.
Published: (2022-01-01) -
Sound Recognition Method of Coal Mine Gas and Coal Dust Explosion Based on GoogLeNet
by: Xingchen Yu, et al.
Published: (2023-02-01)