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. 2020 Jun 23;9(6):1964. doi: 10.3390/jcm9061964

Figure 2.

Figure 2

Overview of the instance segmentation and tracking frameworks. (a) The instance segmentation framework was trained with three types of training datasets: the bilateral axillo-breast approach (BABA) training model, patients, and a public database. (b) The tracking framework, consisting of a tracker and a sequence of re-identification algorithms. Spatial-temporal re-identification (ST-ReID) was trained with bounding boxes of all types of surgical instruments. Bag of visual words re-identification (BOVW-ReID) was applied after ST-ReID.