宫颈细胞核分割旨在通过SCGAN模型解决细胞重叠、染色差异和形态复杂性问题。该模型整合密集连接块、统一注意力模块（UAM）和尺度自适应特征融合与上采样模块（SAFU），协同判别器采用ResNet-50和EfficientNet-B2联合学习，配合不确定性感知注意力机制（UAA ...

A conditional generative adversarial network architecture was implemented to generate synthetic data. Use cases were myelodysplastic syndromes (MDS) and AML: 7,133 patients were included. A fully ...

What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...

A recent study, jointly led by Professor Im Doo Jung in the Department of Mechanical Engineering at UNIST and Professor Hyokyung Sung from Kookmin University proposed a novel method with artificial ...