Optimized H–Inspired Algorithm and SVM Classification For Lung Tumor Detection-Reference-Cited by-同舟云学术

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Optimized H–Inspired Algorithm and SVM Classification For Lung Tumor Detection

Published:2023-03-18 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
language:
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Author:

Yeshwanth G. Srinivasa¹,Suprasen K.¹,Megana K. R. S.¹,Manasa N.²,Sucharitha M.³

Affiliation:

1. Malla Reddy College of Engineering & Technology,Department of Electronics & Communication Engineering,Hyderabad,India

2. St. Martin’s Engineering College,Department of Electronics & Communication Engineering,Hyderabad,India

3. Vellore Inst. of Technology, VIT-AP,School of Electronics Engineering,Amaravati,Guntur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134793.pdf?arnumber=10134793

Reference21 articles.

1. Medical image fusion with Laplacian Pyramids;bhateja;2014 International Conference on Medical Imaging m-Health and Emerging Communication Systems (MedCom) MedCom,2014

2. Recognition of Lung Cancer Using Machine Learning Mechanisms with Fuzzy Neural Networks

3. Dermatologist-level classification of skin cancer with deep neural networks

4. A Pipeline for Lung Tumor Detection and Segmentation from CT Scans Using Dilated Convolutional Neural Networks

5. Histograms of Oriented Gradients for Human Detection

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