Adversarial Stain Transfer for Histopathology Image Analysis（简介）
组织病理学分析中的对抗染色迁移 本文所提出方法的目标是为给定的组织病理学图像分析任务(例如，分类或分割)建立一个带有内在染色归一化组件的判别模型。这种模型应该能够处理具有不同统计特性的图像(即，不同染色表现），不需要额外的训练或预处理。 染色也可以看作是分割任务。 一、该论文中提出的网络结构： ：用于训练的图片，来自病理学实验室A。 ：对
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相关文章
- 1. [Style Transfer]——Adversarial Stain Transfer for Histopathology Image Analysis
- 2. Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
- 3. [Style Transfer]——GANs for Medical Image Analysis
- 4. [Style Transfer]—Generative adversarial networks and adversarial method in biomedical image analysis
- 5. 2020 IVC之GAN（image transfer）：GANILLA: Generative Adversarial Networks for Image to Illustration Tran
- 6. 2019 IJCNN之GAN（image transfer（face））：Attention-Guided Generative Adversarial Networks for Unsupervis
- 7. 「Image Processing」Simple Color Transfer
- 8. Generative Adversarial Networks for Hyperspectral Image Classification
- 9. Binary Generative Adversarial Networks for Image Retrieval
- 10. Discriminative Transfer Learning for General Image Restoration