wentaozhu / DeepLung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
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The reported total recall rate of 94.6 #9

Closed ghost closed 6 years ago

ghost commented 6 years ago

Dear Team, In your report, you provide the folowing details for each fold: "Method Deep 3D Res18 Deep 3D DPN26 Fold 0 0.8610 0.8750 Fold 1 0.8538 0.8783 Fold 2 0.7902 0.8170 Fold 3 0.7863 0.7731 Fold 4 0.8795 0.8850 Fold 5 0.8360 0.8095 Fold 6 0.8959 0.8649 Fold 7 0.8700 0.8816 Fold 8 0.8886 0.8668 Fold 9 0.8041 0.8122"

Each of these numbers is evidently less than 0.9.

Later in the paper, you state that: "R-CNN has a total recall rate 94.6% for all the detected nodules, while 3D DPN26 Faster R-CNN has a recall rate 95.8%." 2018-03-27 13_18_17-wacv18_final 2 pdf

How were these results calculated, e.g the quoted total recall rates of 94.6% and 95.8%. ? If each results on each fold is less than 90% how can the average be more than 90%?

Many thanks,

wentaozhu commented 6 years ago

The total recall means for total detected nodules, not based on false positives as 8. I am sorry for the misunderstanding.