【論文閱讀筆記】Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Net
本文提出一種從腹部CT片中自動分割肝臟和肝臟病變的方法。 使用的數據集爲3DIRCADb dataSets：http://ircad.fr/research/3d-ircadb-01 使用的神經網絡庫爲Keras 訓練的模型在github: https://github.com/IBBM/Cascaded-FCN 流程如圖：
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相關文章
- 1. 醫學分割論文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF
- 2. 肝臟分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
- 3. Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
- 4. 論文閱讀筆記（五十四）：V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
- 5. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 6. 【論文閱讀筆記】Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
- 7. 【論文筆記】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
- 8. 肝臟分割 Detection-aided liver lesion segmentation using deep learning
- 9. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks_2017
- 10. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks