PneuNetV1: A Deep Neural Network for Classification of Pneumothorax Using CXR Images-Reference-Cited by-同舟云学术

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PneuNetV1: A Deep Neural Network for Classification of Pneumothorax Using CXR Images

Published:2023 Issue: Volume:11 Page:65028-65042
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gourisaria Mahendra Kumar¹^ORCID,Singh Vinayak¹^ORCID,Chatterjee Rajdeep¹,Panda Sanjaya Kumar²^ORCID,Pradhan Manas Ranjan³,Acharya Biswaranjan⁴^ORCID

Affiliation:

1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

2. Department of Computer Science and Engineering, National Institute of Technology at Warangal, Warangal, Telangana, India

3. School of Computing, Skyline University College, Sharjah, United Arab Emirates

4. Department of Computer Engineering–Artificial Intelligence and Big Data Analytics, Marwadi University, Rajkot, Gujarat, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10164097.pdf?arnumber=10164097

Reference38 articles.

1. An Experimental Analysis of Machine Learning Classification Algorithms on Biomedical Data

2. Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making

3. A novel machine learning based feature selection for motor imagery EEG signal classification in Internet of medical things environment

4. Mycobacterium Tuberculosis Detection Using CNN Ranking Approach

5. Effective Pneumothorax Detection for Chest X-Ray Images Using Local Binary Pattern and Support Vector Machine

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comprehensive Analysis on Diagnosis of Pneumothorax Disease Using Convolutional Neural Network and Data Visualization for Detection;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

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