DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation
簡介 在這篇論文中，我們提出了一個有效的全卷積網絡(CNN)，叫DermoNet。用於皮膚損傷的分割，允許實時計算。在此多謝我們的密集連接全卷積塊(densely connected convolutional blocks)和跳躍連接(skip connections)。網絡層可以重新使用前面層的信息和確保後面網絡層的高精度。 這篇論文的主要貢獻： 1. 將DenseNet轉換爲一個全卷積網絡。
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相關文章
- 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. 論文筆記《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