【论文阅读笔记】Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Net
本文提出一种从腹部CT片中自动分割肝脏和肝脏病变的方法。 使用的数据集为3DIRCADb dataSets：http://ircad.fr/research/3d-ircadb-01 使用的神经网络库为Keras 训练的模型在github: https://github.com/IBBM/Cascaded-FCN 流程如图：
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相关文章
- 1. 医学分割论文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF
- 2. 肝脏分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
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- 5. Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
- 6. 【论文阅读笔记】Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
- 7. 【论文笔记】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
- 8. 肝脏分割 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