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Found 3 papers, 2 papers with code
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy
Lung cancer is a devastating disease with the highest mortality rate among cancer types.
Stock price prediction using Generative Adversarial Networks
In this paper, it proposes a stock prediction model using Generative Adversarial Network (GAN) with Gated Recurrent Units (GRU) used as a generator that inputs historical stock price and generates future stock price and Convolutional Neural Network (CNN) as a discriminator to discriminate between the real stock price and generated stock price.
Enhanced Balancing GAN: Minority-class Image Generation
Generative adversarial networks (GANs) are one of the most powerful generative models, but always require a large and balanced dataset to train.
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