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肝臟分割 Detection-aided liver lesion segmentation using deep learning
時間 2021-07-12
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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」
>>更多相關文章<<