Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
Breast-Cancer-Identification
Breast Cancer Identification Based on GLCM Texture Feature of Mammogram Image using Backpropagation Artificial Neural Network and K-Nearest Neighbor (KNN)
CNN-LDA-SVM-KNN-for-EMG
A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).
COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
CPSC_Scheme
ct-intensity-segmentation
Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
learn
my learning journey
medical-data
OleNetLib
This is the OleNetLib belongs to OleNet
yushanlu's Repositories
yushanlu/CPSC_Scheme
yushanlu/fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
yushanlu/learn
my learning journey
yushanlu/medical-data
yushanlu/100-Days-Of-ML-Code
100 Days of ML Coding
yushanlu/Breast-Cancer-Identification
Breast Cancer Identification Based on GLCM Texture Feature of Mammogram Image using Backpropagation Artificial Neural Network and K-Nearest Neighbor (KNN)
yushanlu/CNN-LDA-SVM-KNN-for-EMG
A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).
yushanlu/COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
yushanlu/ct-intensity-segmentation
Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-image-python/
yushanlu/data_science_for_all
Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
yushanlu/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
yushanlu/DeepPATH
Classification of Lung cancer slide images using deep-learning
yushanlu/digital-image-processing
yushanlu/ECG
yushanlu/ECG-Authentication-for-Implanted-Medical-Devices
ECG authentication for IMDs using LSTM CNN on the MIT-BIH Arrythmia Database
yushanlu/ecg_2
yushanlu/EEG_emotion_classification_use_CNN-and-RNN
yushanlu/GPMKL
Integrating Genomic Data and Pathological Images to Effectively Predict Breast Cancer Clinical Outcome
yushanlu/har-keras-cnn
yushanlu/Heart-disease-prediction-model
Cardiovascular diseases incidence probability estimation model
yushanlu/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
yushanlu/MutationalPatterns
R package for extracting and visualizing mutational patterns in base substitution catalogues
yushanlu/OncoSig
Code to run OncoSig Analyses
yushanlu/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
yushanlu/python_glcmFeature
This .py file describe how to use GLCM (Gray level co-occurrence matrix) to analyze texture information of an image
yushanlu/ReplaceGoogleCDN
:cancer: 一个 Chrome 插件：将 Google CDN 替换为国内的。
yushanlu/scGEAToolbox
scGEAToolbox: Matlab toolbox for single-cell gene expression analyses
yushanlu/sEMG-Neural-Net
Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementations.
yushanlu/sEMG_DeepLearning
sEMG-based gesture recognition using deep learnig
yushanlu/xDNN-SARS-CoV-2-CT-Scan