DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation
简介 在这篇论文中，我们提出了一个有效的全卷积网络(CNN)，叫DermoNet。用于皮肤损伤的分割，允许实时计算。在此多谢我们的密集连接全卷积块(densely connected convolutional blocks)和跳跃连接(skip connections)。网络层可以重新使用前面层的信息和确保后面网络层的高精度。 这篇论文的主要贡献： 1. 将DenseNet转换为一个全卷积网络。
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相关文章
- 1. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 2. Adversarial learning with multi-scale loss for skin lesion segmentation
- 3. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 4. Mobile-Efficient Convolutional Neural Network for Mobile Vision Applications
- 5. DenseNet: Densely connected convolutional network
- 6. Convolutional Neural Network Architecture
- 7. 论文笔记《A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification》
- 8. 【超分辨率】Efficient Sub-Pixel Convolutional Neural Network
- 9. One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation
- 10. Paper Reading：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications