2S-BUSGAN: A Novel Generative Adversarial Network for Realistic Breast Ultrasound Image with Corresponding Tumor Contour Based on Small Datasets

Deep learning (DL) models in breast ultrasound (BUS) image analysis face challenges with data imbalance and limited atypical tumor samples. Generative Adversarial Networks (GAN) address these challenges by providing efficient data augmentation for small datasets. However, current GAN approaches fail...

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Detalles Bibliográficos
Autores principales: Luo, Jie, Zhang, Heqing, Zhuang, Yan, Han, Lin, Chen, Ke, Hua, Zhan, Li, Cheng, Lin, Jiangli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610581/
https://www.ncbi.nlm.nih.gov/pubmed/37896706
http://dx.doi.org/10.3390/s23208614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610581/
https://www.ncbi.nlm.nih.gov/pubmed/37896706
http://dx.doi.org/10.3390/s23208614

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