Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization-Reference-Cited by-同舟云学术

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Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization

Published:2024-03-15 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
language:
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Author:

K Kavin Kumar¹,S Srimathi¹,B Suhashini¹,K Vasanthan¹,N Amirthavarshini¹,B Arunkumar¹,B K Dhanush¹,S Sathesh¹

Affiliation:

1. Kongu Engineering College,Department of Electronics and Communication Engineering,Erode,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531315.pdf?arnumber=10531315

Reference29 articles.

1. Classification of Tumor of MRI Brain Image Using Hybrid Feature Extraction Method and Support Vector Machine Classifier

2. Convolutional neural network: a review of models, methodologies and applications to object detection

3. BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification

4. Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier

5. Multi-class brain tumor classification using residual network and global average pooling

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