- You have dermoscopy images
- You applied some method to finding region of Interest>> as result segmneted image
- Now you have to compare resultant segmented image with respective Grond thruth image (or Manual verification by experts)
How do I calculate the precision, recall and F1score for an image database?
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I work on dermoscopy images, I used fcm clustering for segmentation and also I obtained another mask to overlay on the initial image and I need to see if the segmentation was good enough. Can you please provide some ideas? Thanks in advance
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KALYAN ACHARJYA
2019년 6월 15일
편집: KALYAN ACHARJYA
2020년 5월 17일
To calcuate the precision and recall you need ground truth images
Lets clear the issue
Precision=TP/(TP+FP); I assuemd that you know these terms
Recal=TP/(TP+FN)
F1 Score= Average of 1/(Precision & Recal)
Regrads
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