Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study

Author:

C. Pereira SofiaORCID,Rocha JoanaORCID,Campilho Aurélio,Mendonça Ana MariaORCID

Funder

Fundação para a Ciência e a Tecnologia

European Regional Development Fund

China Medical University, Taiwan

Publisher

Elsevier BV

Reference43 articles.

1. PCovNet+: a CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection;Abir;Eng. Appl. Artif. Intell.,2023

2. A comparison of Covid-19 early detection between convolutional neural networks and radiologists;Albiol;Insights Imaging,2022

3. An automated chest X-ray analysis for covid-19, tuberculosis, and pneumonia employing ensemble learning approach;Amin;Biomed. Signal Process. Control,2024

4. Covid-19 detection: a systematic review of machine and deep learning-based approaches utilizing chest X-rays and ct scans;Bhatele;Cogn. Comput.,2022

5. PadChest: a large chest X-ray image dataset with multi-label annotated reports;Bustos;Med. Image Anal.,2020

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