Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights

Moreover, visualization techniques were used to inspect the intermediate layers of the model, providing deeper insights into its processing and interpretation of medical images. The proposed method offers healthcare radiologists a valuable tool for rapid and accurate point-of-care diagnoses.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2024-11-21
DOI
https://doi.org/10.2174/0115734056344651241023070250
Citations
2
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.81
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article

Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights

A. Beena Godbin, S. Graceline Jasmine
2 citations
Current Medical Imaging Formerly Current Medical Imaging Reviews
COVID-19 diagnosis using AI
0.81
article

Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights

A. Beena Godbin, S. Graceline Jasmine
article en
2 citations

Abstract

Moreover, visualization techniques were used to inspect the intermediate layers of the model, providing deeper insights into its processing and interpretation of medical images. The proposed method offers healthcare radiologists a valuable tool for rapid and accurate point-of-care diagnoses.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 20
Vellore Institute of Technology University (IN)
Good health and well-being
Openalex Percentile: Top 24%
COVID-19 diagnosis using AI
0.81
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Advanced Lung Disease Detection: CBAM-Augmented, Lightweight EfficientNetB2 with Visual Insights — A. Beena Godbin, S. Graceline Jasmine · Current Medical Imaging Formerly Current Medical Imaging Reviews (2024) | TGRS Research Map | TGRS