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. 2021 Sep 3;12(21):6473–6483. doi: 10.7150/jca.63879

Figure 1.

Figure 1

Identification of cancer lesions by the RFB-SSD object detection algorithm. A. The structure of RFB-SSD model. B. The area under the curve of precision and recall (mAP) reached 95.90% (left up). At 0.5 threshold value, the precision score reached 92.16% (right up), the recall score 95.92% (left down) and the F1 score 0.94 (right down). C. True-positive prediction results. All cancer lesions were correctly predicted with high confidence shown on the top of yellow boxes. The predictive confidence of true-positive cases was over 0.7 (0.97±0.07). D. False-positive predictive results. The blue labels indicated the true-positive lesions, and the yellow labels represented the false-positive lesions with low confidence (0.65±0.05).