Enhancing Lung Disease Diagnosis through Meta Learning: A Framework Utilizing Few-Shot Learning Techniques-Reference-Cited by-同舟云学术

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Enhancing Lung Disease Diagnosis through Meta Learning: A Framework Utilizing Few-Shot Learning Techniques

Published:2024-05-09 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Anandhi S¹,Devakadacham Sterlin Rani²,Manikandan J³,Shanthalakshmi M.⁴

Affiliation:

1. Rajalakshmi Engineering College,Computer Science and Engineering,Chennai,India

2. R. M. D. Engineering College,Computer Science and Engineering,Kavaraipettai,India

3. St. Joseph’s College of Engineering,Department of Information Technology,Chennai,India

4. Sri Venkateswara College of Engineering,Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602349.pdf?arnumber=10602349

Reference16 articles.

1. Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey

2. Deep learning-based CAD schemes for the detection and classification of lung nodules from CT images: A survey

3. Lung cancer identification: a review on detection and classification

4. Detection and classification of pulmonary nodules using deep learning and swarm intelligence

5. An Efficient Technique for the Better Recognition of Oral Cancer using Support Vector Machine

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1. An intelligent dynamic cyber physical system threat detection system for ensuring secured communication in 6G autonomous vehicle networks;Scientific Reports;2024-09-05

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