how to calculate specificity and sensitivity in 3dUnet

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

Answer 1

[Kartik]

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:

• 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).

To calculate the Dice coefficient, which is a measure of overlap between the predicted and ground truth masks, we can use the dice function.