Design Domain Specific Neural Network via Symbolic Testing
Deep sequence networks such as multi-head self-attention networks provide a promising
way to extract effective representations from raw sequence data in an end-to-end fashion …
way to extract effective representations from raw sequence data in an end-to-end fashion …
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Deep learning provides a promising way to extract effective representations from raw data in
an end-to-end fashion and has proven its effectiveness in various domains such as …
an end-to-end fashion and has proven its effectiveness in various domains such as …
Research On Altofrequency Ultrasound Image Assisted Diagnosis of Liver Cirrhosis Based On Deep Learning
Q Zhao, J Zhao, X Liu, F Lu - … , Internet of Things and Smart City …, 2023 - ieeexplore.ieee.org
We consider the problem of feature extraction in ultrasound diagnosis of cirrhosis. The
classification of liver cirrhosis is mainly based on the performance of ultrasonic images of …
classification of liver cirrhosis is mainly based on the performance of ultrasonic images of …