See the ROC curve:
How can I calculate the accurcy?
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I have 17 images of patients with cerebral saccular aneurysms (each image has only one aneurysm), after applying detection and segmentation algorithm to segment aneurysms from the images:
13 aneurysms in 13 images were detected\segmented.
8 aneurysms (4 true positive aneurysms + 4 false positive ones) in 4 images were detected\segmented.
My question is:
1) How to calculate the accuracy?
Accuracy=items classified correctly\all items classified*
Accuracy=13/17 =76.74% ??
Accuracy=17/(17+4) =80.95% ??
2) What are other statistical measures could be used to describe the results?
3) What are your suggestions to improve the results?
- I have not tested the algorithm using images of healthy patients.
How can I calculate the accuracy?
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