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3 METHOD AND SYSTEM FOR ANALYZING FEATURE REPRESENTATION OF LESIONS WITH DEPTH DIRECTIONAL LONG-TERM RECURRENT LEARNING IN 3D MEDICAL IMAGES
3 METHOD AND SYSTEM FOR ANALYZING FEATURE REPRESENTATION OF LESIONS WITH DEPTH DIRECTIONAL LONG-TERM RECURRENT LEARNING IN 3D MEDICAL IMAGES
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机译:3利用深度方向性长期递归学习对3D医学图像进行病灶特征表征的方法和系统
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摘要
According to one embodiment, a method of analyzing a lesion feature representation using depth directional recursion in a three-dimensional medical image comprises using a Convolution Neural Network (CNN), wherein a plurality of cross-sectional images- Extracting each of the lesion space feature expressions included in one taken three-dimensional medical image; And extracting a lesion feature expression of each of the plurality of sectional images along a depth direction of the plurality of sectional images using a recurrent neural network based on a lesion spatial feature representation of each of the plurality of sectional images. .
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