- Calculate the confusion matrix: Use the confusionmat function to calculate the confusion matrix between the predictions and the ground truth masks. The confusion matrix is a 2x2 matrix that counts the number of true positives (TP), false positives (FP), false negatives (FN), and true negatives (TN).
- Calculate the sensitivity and specificity: Use the confusion matrix to calculate the sensitivity (true positive rate) and specificity (true negative rate) of the segmentation model. The sensitivity is calculated as TP/(TP+FN), and the specificity is calculated as TN/(TN+FP).
how to calculate specificity and sensitivity in 3dUnet
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i am using the 3dUnet code to segment lung nodules
i ended up with a training plot accuracy
i wanted to calculate other measures like specificty , senstivity and dice but not sure who to do thsi
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Kartik
2023-2-22
Hi,
To calculate the specificity and sensitivity of a 3D U-Net segmentation model in MATLAB, we can use the confusion matrix and classification report functions. Here are the steps:
To calculate the Dice coefficient, which is a measure of overlap between the predicted and ground truth masks, we can use the dice function.
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