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An Efficient Synthetic Data Generation Algorithm to Improve Efficacy of Deep Learning Models of Medical Images

2022-12-29

Abstract excerpt

<title>Abstract</title> <p>Deep Convolutional Neural Networks (DCNNs) have emerged as powerful components of computer-aided systems to detect and classify diseases in medical images. In order to robustly achieve high performance, a large and diverse dataset with annotated images is required to train or fine-tune DCNNs. However, such datasets are often very difficult and/or expensive to obtain due to demands on cl...

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Literature Corpus work
2b72f726-1461-58c6-bf70-3081d3c2a5e1
DOI
10.21203/rs.3.rs-2416807/v1
Open publication

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An Efficient Synthetic Data Generation Algorithm to Improve Efficacy of Deep Learning Models of Medical ImagesDOI 10.21203/rs.3.rs-2416807/v1
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