Pathological image classification device and method based on depth feature fusion and use method of device
The invention discloses a pathological image classification device based on depth feature fusion, and the device comprises an image data set obtaining unit which obtains a small image data set; the specific number of integration units are used for receiving small block images in the small block imag...
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| creator | WEI XIANGGUO ZHONG FEI GAO XIANG JIANG WEI LI MINGRUI |
| description | The invention discloses a pathological image classification device based on depth feature fusion, and the device comprises an image data set obtaining unit which obtains a small image data set; the specific number of integration units are used for receiving small block images in the small block image data set, enabling the small block images to repeatedly obtain further weighted and deepened image convolution features through operation of a convolution kernel and a weighting channel and dimension deepened cascading according to set network training parameters, and outputting the image convolution features; deep image convolution features and shallow image convolution features are extracted; the feature fusion unit is used for carrying out operation on the obtained deep image convolution features and the shallow image convolution features and then carrying out cascade connection on the obtained deep image convolution features and the shallow image convolution features and vectorized deep image convolution feat |
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the specific number of integration units are used for receiving small block images in the small block image data set, enabling the small block images to repeatedly obtain further weighted and deepened image convolution features through operation of a convolution kernel and a weighting channel and dimension deepened cascading according to set network training parameters, and outputting the image convolution features; deep image convolution features and shallow image convolution features are extracted; the feature fusion unit is used for carrying out operation on the obtained deep image convolution features and the shallow image convolution features and then carrying out cascade connection on the obtained deep image convolution features and the shallow image convolution features and vectorized deep image convolution feat</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; 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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | Pathological image classification device and method based on depth feature fusion and use method of device |
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