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medical-transformer

Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

parkinson-disease-recongnition

In order to reduce the clinical diagnosis of Parkinson's disease on the scale and wearable equipment and doctors' clinical experience of excessive dependence, provide new ideas for PD patients in the diagnosis method. In this paper, signal processing method is used to extract 12 complex speech features from MDVR-KCL data set, including periodic change, peak change and harmonic signal-to-noise ratio. Traditional decision tree and residual neural network are used for training and testing. Through comparative experiments, it is found that residual neural network, which can effectively solve the problem of neural network deepening and accuracy decreasing, can effectively distinguish PD patients and healthy people,

plotneuralnet

Latex code for making neural networks diagrams

stochastic_segmentation_networks

Stochastic Segmentation Networks