肝臟分割 Detection-aided liver lesion segmentation using deep learning
A fully automatic technique for segmenting the liver and localizing its unhealthy tissues is a convenient tool in order to diagnose hepatic diseases and assess the response to the according treatments
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相關文章
- 1. 肝臟分割 Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
- 2. 醫學分割論文:Automatic Liver and Lesion Segmentation in CT Using Cascaded FCNN and 3D-CRF
- 3. 【論文閱讀筆記】Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Net
- 4. Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
- 5. 【論文筆記】——FEATURE FUSION ENCODER DECODER NETWORK FOR AUTOMATIC LIVER LESION SEGMENTATION
- 6. Adversarial learning with multi-scale loss for skin lesion segmentation
- 7. 語義分割--Deep Dual Learning for Semantic Image Segmentation
- 8. White matter hyperintensity and stroke lesion segmentation and differentiation using cnn_part2_2017
- 9. 物體分割--Deep Watershed Transform for Instance Segmentation
- 10. arXiv綜述論文「Image Segmentation Using Deep Learning: A Survey」