Enhancing Accuracy in the Detection of Chondrosarcoma Using Mobile Net Algorithm and Comparison with Support Vector Machine-Reference-Cited by-同舟云学术

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Enhancing Accuracy in the Detection of Chondrosarcoma Using Mobile Net Algorithm and Comparison with Support Vector Machine

Published:2024-04-04 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
language:
Short-container-title:

Author:

Veekshith A Bhanu¹,Nagalakshmi T J²

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Dept of ECE,Chennai,India

2. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of VLSI Micro Electronics,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10568576/10568577/10568798.pdf?arnumber=10568798

Reference12 articles.

1. Select the Best Machine Learning Algorithms for Prediction and Classification of Intrusions using KDD99 Intrusion Detection Dataset

2. Automated Breast Cancer Classification based on Modified Deep learning Convolutional Neural Network following Dual Segmentation

3. Parkinson’s disease Classification from Speech Signal Parameters using Deep Neural Network

4. A Combined Deep CNN-LSTM Network for Chromosome Classification for Metaphase Selection

5. Intrusion Detection System using One Class SVM with and without Feature Selection in Wormhole Attack Detection

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