Generative adversarial networks to segment skin lesions
简介 这是一篇用GAN进行皮肤病变图的分割论文，由于皮肤病变图具有很大的可变性，因此给分割带来挑战，这里提出的方法包括两个models:一个合成精确的皮肤病变分割mask的全卷积网络，和一个区分合成的和真实的分割mask的全卷积网络。在我们的工作中，给出了一个训练集，generator/segmentor尝试输出与ground truth匹配的合成图，同时discriminator/critic用
相关文章
- 1. Graphical Generative Adversarial Networks
- 2. Triangle Generative Adversarial Networks
- 3. Contrastive Generative Adversarial Networks
- 4. Generative Adversarial Networks overview（1）
- 5. Generative Adversarial Networks overview（4）
- 6. Self-Attention Generative Adversarial Networks
- 7. Generative Adversarial Networks overview（2）
- 8. AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks, ICML2020
- 9. An intuitive introduction to Generative Adversarial Networks (GANs)
- 10. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 更多相关文章...
- • Maven 项目文档 - Maven教程
- • Maven NetBeans - Maven教程
- • 算法总结-股票买卖
- • 使用Rxjava计算圆周率
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Graphical Generative Adversarial Networks
- 2. Triangle Generative Adversarial Networks
- 3. Contrastive Generative Adversarial Networks
- 4. Generative Adversarial Networks overview（1）
- 5. Generative Adversarial Networks overview（4）
- 6. Self-Attention Generative Adversarial Networks
- 7. Generative Adversarial Networks overview（2）
- 8. AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks, ICML2020
- 9. An intuitive introduction to Generative Adversarial Networks (GANs)
- 10. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization