How can I calculate the iou and dice for each slices in a CT volume to obtain the mean for all the volume?
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
This is my code:
load("25_1_50epochs.mat")
destinationSkullTest11 = "C:\Users\User\Documents\SEM 7\FYP\Dataset\U-net\Image Test";
destinationMasksTest11 = "C:\Users\User\Documents\SEM 7\FYP\Dataset\U-net\Mask Test";
destinationPredictionFolder = "C:\Users\User\Documents\SEM 7\Deep Learning\Predicted Test";
pixelLabelID = [1 0];
classNames = ["fracture" "background"];
SkullFiles = dir(destinationSkullTest11);
SkullDirectoryNames = {SkullFiles([SkullFiles.isdir]).name};
SkullDirectoryNames = SkullDirectoryNames(~ismember(SkullDirectoryNames,{'.','..'}));
MaskFiles = dir(destinationMasksTest11);
MaskDirectoryNames = {MaskFiles([MaskFiles.isdir]).name};
MaskDirectoryNames = MaskDirectoryNames(~ismember(MaskDirectoryNames,{'.','..'}));
for z = 1:length(SkullDirectoryNames)
fullfileSkull = fullfile(destinationSkullTest11,SkullDirectoryNames(z));
fullfileMask = fullfile(destinationMasksTest11,MaskDirectoryNames(z));
imdstest11 = imageDatastore(fullfileSkull,"FileExtensions",".png","LabelSource","foldernames");
pxdstest11 = pixelLabelDatastore(fullfileMask,classNames,pixelLabelID,"FileExtensions",".png");
mkdir(fullfile(destinationPredictionFolder, MaskDirectoryNames{z}));
targetFolder = fullfile(destinationPredictionFolder, MaskDirectoryNames(z));
pxdsResults11 = semanticseg(imdstest11,net,"WriteLocation",targetFolder);
for t = 1:length(pxdsResults11.Files)
gt = readimage(pxdstest11,t);
pr = readimage(pxdsResults11,t);
confmat = segmentationConfusionMatrix(pr,gt);
% IoU = TP / (TP + FP + FN)
numeiou(t,:) = confmat(1,1);
denoiou(t,:) = confmat(1,1) + confmat(1,2) + confmat(2,1);
numeiouall = sum(numeiou);
denoiouall = sum(denoiou);
% Dice = 2TP / (2TP + FP + FN)
numedice(t,:) = 2*confmat(1,1);
denodice(t,:) = 2*confmat(1,1) + confmat(1,2) + confmat(2,1);
numediceall = sum(numedice);
denodiceall = sum(denodice);
end
miou(z,:) = sum(numeiouall)/sum(denoiouall);
mdice(z,:) = sum(numediceall)/sum(denodiceall);
end
meaniou = mean(miou);
meandice = mean(mdice);
3 commentaires
Image Analyst
le 29 Mai 2022
Can you use your MATLAb drive? See the 9 spot menu item on the right of your icon in the upper right corner of this page.
Réponses (0)
Voir également
Catégories
En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!