GitHub - kladde99/Medical-image-segmentation-using-machine-learning: Prostate cancer segmentation based on MRI and PET images

Medical-image-segmentation-using-machine-learning

Implemented three classifiers (Nearest Mean, kNN and SVM) for automatic prostate cancer segmentation based on MRT and PET images.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
C_optimization.m		C_optimization.m
CancerVisualization.m		CancerVisualization.m
ExtractProstateRegion.m		ExtractProstateRegion.m
Outlier_Remove.m		Outlier_Remove.m
ProstateRegionfunc.m		ProstateRegionfunc.m
ProstateRegionfunc_over11.m		ProstateRegionfunc_over11.m
README.md		README.md
ROCofSVM.m		ROCofSVM.m
classifiers_error_rate.m		classifiers_error_rate.m
decisionboundary_SVM.m		decisionboundary_SVM.m
decisionboundary_knn.m		decisionboundary_knn.m
decisionboundary_nm.m		decisionboundary_nm.m
k_optimization.m		k_optimization.m
knnfeatureselection5to2.m		knnfeatureselection5to2.m
main_ProstateCancerSegmentation.m		main_ProstateCancerSegmentation.m
nearest_mean_classifier.m		nearest_mean_classifier.m
nmfeatureselection5to2.m		nmfeatureselection5to2.m
normalization.m		normalization.m
partioning.m		partioning.m
post_processing.m		post_processing.m
prostate_knn_classifier.m		prostate_knn_classifier.m
svm_classf.m		svm_classf.m
svmfeatureselection5to2.m		svmfeatureselection5to2.m
testfileSelection.m		testfileSelection.m