In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes
Table 1
The evaluation accuracy (%) for bounding box generation and instance segmentation.
The upper part of the table is related to object detection (bounding boxes), and the lower part is related to instance segmentation. We used DCAN, CosineEmbedding, and Mask R-CNN for the other ANN architectures. When the entry is not applicable, dash (-) is used.