Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules

Table 7

mAP of different networks on our dataset.

Model	Benign (AP) (%)	Malignant (AP) (%)	Detection time in all test images (s)	mAP on our dataset (%)
YOLOv3-tiny	79.50	89.86	2	84.68
YOLOv3-spp	79.43	63.30	11.3	71.36
YOLOv3-320	90.91	90.18	9.1	90.54
YOLOv3-416	90.91	90.26	9.4	90.58
YOLOv3-608	90.79	89.86	9.8	90.32
YOLOv3-DMRF	90.66	89.43	3.7	90.05