Seungjun's blog

Seungjun's blog

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Seungjun's blog

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Paper Review BigGAN 분산학습 Style based generator 스타일겐 GANspace StyleGAN RandAugment Distributed Data Parallel Analyzing and Improving the Image Quality of StyleGAN Semi-Supervised multi gpu GANomaly StyleGAN2 AutoAugment AnoGAN GANSpace: Discovering Interpretable GAN Controls Fast-AutoAugment gan 스타일갠

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DeepLearning/Medical AI(1)

  • [Paper Review] Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

    Title: Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning Conference: PNAS Summary: Architecture: PatchFCN, a patch-based fully convolutional neural network. Being a workhorse in medical imaging modality, Brain Computed Tomography(CT) needs a deep learning that can accurately identify diverse and very subtle cases of a major class of pathology..

    2020.08.19
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