Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique-Reference-Cited by-同舟云学术

Computer-Aided COVID-19 Screening from Chest CT-Scan using a Fuzzy Ensemble-based Technique

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Sahoo Pranab¹,Saha Sriparna¹,Mondal Samrat¹,Chowdhury Sujit¹,Gowda Suraj²

Affiliation:

1. Indian Institute of Technology Patna,Department of Computer Science and Engineering,Bihar,India

2. Narayana Institute of Cardiac Sciences,Department of Radiology,Bengalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892085.pdf?arnumber=9892085

Reference32 articles.

1. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2. Systematic investigation into generalization of covid-19 ct deep learning models with gabor ensemble for lung involvement scoring;horry;ArXiv Preprint,2021

3. COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble

4. Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network

Cited by 10 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 multistage framework for respiratory disease detection and assessing severity in chest X-ray images;Scientific Reports;2024-05-29

2. Integrative prognostic modeling for breast cancer: Unveiling optimal multimodal combinations using graph convolutional networks and calibrated random forest;Applied Soft Computing;2024-03

3. A Multi-stage framework for COVID-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique;Expert Systems with Applications;2024-03

4. Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction;Scientific Reports;2023-12-03

5. A Federated Multi-stage Light-Weight Vision Transformer for Respiratory Disease Detection;Communications in Computer and Information Science;2023-11-26