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filingDate 2017-02-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_626e593a85f27965649a5282940a8276
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publicationDate 2018-03-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20180021635-A
titleOfInvention Method and system for analyzing feature representation of lesions with depth directional long-term recurrent learning in 3d medical images
abstract 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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Total number of triples: 44.