AIMC Topic: Mass Chest X-Ray

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Deep Learning Algorithms with LIME and Similarity Distance Analysis on COVID-19 Chest X-ray Dataset.

International journal of environmental research and public health Feb 28, 2023
In the last few years, many types of research have been conducted on the most harmful pandemic, COVID-19. Machine learning approaches have been applied to investigate chest X-rays of COVID-19 patients in many respects. This study focuses on the deep ...
Humans COVID-19 Algorithms Deep Learning Datasets as Topic X-Rays Mass Chest X-Ray
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Implementation of convolutional neural network approach for COVID-19 disease detection.

Physiological genomics Oct 23, 2020
In this paper, two novel, powerful, and robust convolutional neural network (CNN) architectures are designed and proposed for two different classification tasks using publicly available data sets. The first architecture is able to decide whether a gi...
Humans Neural Networks, Computer COVID-19 Algorithms SARS-CoV-2 Data Accuracy Electronic Data Processing Mass Chest X-Ray
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A promising approach for screening pulmonary hypertension based on frontal chest radiographs using deep learning: A retrospective study.

PloS one Jul 24, 2020
BACKGROUND: To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there has been limited development of a rapid, simple, and effective way to screen the disease. The purpose of this study is to develop a deep learning approa...
Humans Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning China Mass Screening Radiographic Image Interpretation, Computer-Assisted Hypertension, Pulmonary Thorax Mass Chest X-Ray
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