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Article

UltraGANet: A Class-Conditional GAN Framework for Breast Tumor Classification in Ultrasound Imaging

2025-10-27

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> This study addresses the critical challenge of limited annotated data in ultrasound-based breast cancer diagnosis by proposing a novel classification framework. The research aims to evaluate whether (cGANs) can effectively augment training datasets and enhance classification performance when integrated with a lightweight (CNN) model, UltraGANet. <bold>Methods</b...

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Literature Corpus work
4caa53b7-7cd5-5d3a-b576-49de3a7c0dda
DOI
10.21203/rs.3.rs-7935406/v1
Open publication

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UltraGANet: A Class-Conditional GAN Framework for Breast Tumor Classification in Ultrasound ImagingDOI 10.21203/rs.3.rs-7935406/v1
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