Brain Tumor Classification with Improved Accuracy in MRI Pictures Using CNN and its Comparison with SVM-Reference-Cited by-同舟云学术

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Brain Tumor Classification with Improved Accuracy in MRI Pictures Using CNN and its Comparison with SVM

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Goswami Tanmay¹,Bhukra Sonia²,V Gokul Rajan³,Ram S Rahul⁴,Abdulrahman Imad Saeed⁵,Shyamala Susan V⁶

Affiliation:

1. Sanskriti University,Department of Ayurveda,Mathura,Uttar Pradesh,India

2. Chandigarh Engineering College,Department of ECE,Jhanjeri,India

3. Galgotias University,Department of CSE,Greater Noida,Uttar Pradesh,India

4. SASTRA Deemed University,Thanjavur,India

5. Al-Farahidi University,College of Technical Engineering,Baghdad,Iraq

6. APC Mahalaxmi College for Women,Department of Computer Science,Tuticorin,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10182927.pdf?arnumber=10182927

Reference20 articles.

1. Comparative Study of Classification System using K-NN, SVM and Ada-boost for Multiple Sclerosis and Tumor Lesions using Brain MRI

2. Brain Tumor Detection and Classification Using Image Processing Techniques

3. IBM SPSS Statistics 26 Step by Step

4. Classification of Brain Tumors Using Convolutional Neural Network over Various SVM Methods

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