segmetrics.detection
- class segmetrics.detection.FalseMerge(aggregation: Literal['sum', 'mean', 'geometric-mean', 'object-mean'] = 'mean')
Bases:
Measure
Counts falsely merged objects.
References:
L. Coelho, A. Shariff, and R. Murphy, “Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms,” in Proc. Int. Symp. Biomed. Imag., 2009, pp. 518–521.
- class segmetrics.detection.FalseNegative(**kwargs)
Bases:
Measure
Counts missing objects.
References:
L. Coelho, A. Shariff, and R. Murphy, “Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms,” in Proc. Int. Symp. Biomed. Imag., 2009, pp. 518–521.
- class segmetrics.detection.FalsePositive(**kwargs)
Bases:
Measure
Counts spurious objects.
References:
L. Coelho, A. Shariff, and R. Murphy, “Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms,” in Proc. Int. Symp. Biomed. Imag., 2009, pp. 518–521.
- class segmetrics.detection.FalseSplit(aggregation: Literal['sum', 'mean', 'geometric-mean', 'object-mean'] = 'mean')
Bases:
Measure
Counts falsely split objects.
References:
L. Coelho, A. Shariff, and R. Murphy, “Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms,” in Proc. Int. Symp. Biomed. Imag., 2009, pp. 518–521.