Pinned Repositories
Anatomically-aware_Uncertainty_for_Semi-supervised_Segmentation
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation
DAG4MIA
Domain Adaptation and Generalization for Medical Image Analysis
123
huanqingxu-
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
PCLMix
[ICIC 2024] Official Pytorch Implementation for "PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation"
huanqingxu's Repositories
huanqingxu/123
huanqingxu/huanqingxu-
huanqingxu/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
huanqingxu/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,
huanqingxu/PlotNeuralNet
Latex code for making neural networks diagrams
huanqingxu/stochastic_segmentation_networks
Stochastic Segmentation Networks