ISBI-2019

A Feature Extraction solution for the challenge 1 of ISBI-2019.

All the Feature Extraction Procces are inspired and based on the project present in:

The challenge ISBI-2019 can be founded in:

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
A_rawDataHandler.py		A_rawDataHandler.py
B_dataAugmentation.py		B_dataAugmentation.py
C_ExtractFeatures_Module.py		C_ExtractFeatures_Module.py
D_AllFeatures_gridSearch_NeuralNet.py		D_AllFeatures_gridSearch_NeuralNet.py
E_AllFeatures_fineTune_NeuralNet.py		E_AllFeatures_fineTune_NeuralNet.py
F_AllFeatures_NeuralNet_executeOnTest.py		F_AllFeatures_NeuralNet_executeOnTest.py
G_AllFeatures_KNN_executeOnTest.py		G_AllFeatures_KNN_executeOnTest.py
G_AllFeatures_NaiveBayes_executeOnTest.py		G_AllFeatures_NaiveBayes_executeOnTest.py
G_AllFeatures_SVM_executeOnTest.py		G_AllFeatures_SVM_executeOnTest.py
G_AllFeatures_VGG16.py		G_AllFeatures_VGG16.py
G_TestVGG16.py		G_TestVGG16.py
H_AllFeatures_Ensemble_Learning.py		H_AllFeatures_Ensemble_Learning.py
I_Interpretable_Ensemble_Learning.py		I_Interpretable_Ensemble_Learning.py
J_Reduced_Ensemble_Learning.py		J_Reduced_Ensemble_Learning.py
K_variability_analysis.py		K_variability_analysis.py
L_statistc_analysis.py		L_statistc_analysis.py
M_ROC_curve_generator.py		M_ROC_curve_generator.py
README.md		README.md
z_interpretable_ensemble_analysis.txt		z_interpretable_ensemble_analysis.txt

yurifarod/ISBI-2019