Exploring the Interplay of Dataset Size and Imbalance on CNN Performance in Healthcare: Using X-rays to Identify COVID-19 Patients

Recognizing a single model's generalizability limitations, we assert that further studies on diverse datasets are needed.

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Publication Details

Journal
Diagnostics
Published
2024-08-08
DOI
https://doi.org/10.3390/diagnostics14161727
Citations
13
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
5.26
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article

Exploring the Interplay of Dataset Size and Imbalance on CNN Performance in Healthcare: Using X-rays to Identify COVID-19 Patients

Yotam Lurie, Ben‐Zion Joshua, Shlomo Mark, Moshe Davidian et al.
13 citations
Diagnostics
COVID-19 diagnosis using AI
5.26
article

Exploring the Interplay of Dataset Size and Imbalance on CNN Performance in Healthcare: Using X-rays to Identify COVID-19 Patients

Yotam Lurie, Ben‐Zion Joshua, Shlomo Mark, Moshe Davidian, Ori Wand, A. Lahav
article en
13 citations

Abstract

Recognizing a single model's generalizability limitations, we assert that further studies on diverse datasets are needed.

DiagnosticsVol. 14(16)
Ben-Gurion University of the Negev (IL), Barzilai Medical Center (IL), Sami Shamoon College of Engineering (IL)
Openalex Percentile: Top 4%
COVID-19 diagnosis using AI
5.26
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