A Multi-Scale CNN with Atrous Spatial Pyramid Pooling for Enhanced Chest-based Disease Detection.

We introduce an advanced deep learning model for the early detection of COVID-19 and pneumonia, incorporating a convolutional neural network with atrous spatial pyramid pooling to improve feature extraction and detection accuracy. This work is currently under review in the <i>PeerJ Computer Science</i> journal.

Publication Details

Journal
Figshare
Published
2024-10-18
DOI
https://doi.org/10.6084/m9.figshare.27257610
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

A Multi-Scale CNN with Atrous Spatial Pyramid Pooling for Enhanced Chest-based Disease Detection.

Figshare
COVID-19 diagnosis using AI
article

A Multi-Scale CNN with Atrous Spatial Pyramid Pooling for Enhanced Chest-based Disease Detection.

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Abstract

We introduce an advanced deep learning model for the early detection of COVID-19 and pneumonia, incorporating a convolutional neural network with atrous spatial pyramid pooling to improve feature extraction and detection accuracy. This work is currently under review in the <i>PeerJ Computer Science</i> journal.

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COVID-19 diagnosis using AI
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A Multi-Scale CNN with Atrous Spatial Pyramid Pooling for Enhanced Chest-based Disease Detection. · Figshare (2024) | TGRS Research Map | TGRS