Table 1.

Confusion matrix to determine METRO’s BM classification performance. Bold values indicate agreement between METRO and manual determination

METRO predicted classificationGround truth (manual axial diameter)
IncreasingStableDecreasingUnappreciable
Increasing13210
Stable3673
Decreasing1256
Unappreciable111023
Not respondingResponding
Not responding133
Responding563
BM classificationPrecisionRecallSpecificityF1-score
Increasing0.810.720.950.76
Stable0.320.550.820.40
Decreasing0.360.220.850.27
Unappreciable0.660.720.770.69
Not responding0.810.720.950.76
METRO predicted classificationGround truth (manual axial diameter)
IncreasingStableDecreasingUnappreciable
Increasing13210
Stable3673
Decreasing1256
Unappreciable111023
Not respondingResponding
Not responding133
Responding563
BM classificationPrecisionRecallSpecificityF1-score
Increasing0.810.720.950.76
Stable0.320.550.820.40
Decreasing0.360.220.850.27
Unappreciable0.660.720.770.69
Not responding0.810.720.950.76
Table 1.

Confusion matrix to determine METRO’s BM classification performance. Bold values indicate agreement between METRO and manual determination

METRO predicted classificationGround truth (manual axial diameter)
IncreasingStableDecreasingUnappreciable
Increasing13210
Stable3673
Decreasing1256
Unappreciable111023
Not respondingResponding
Not responding133
Responding563
BM classificationPrecisionRecallSpecificityF1-score
Increasing0.810.720.950.76
Stable0.320.550.820.40
Decreasing0.360.220.850.27
Unappreciable0.660.720.770.69
Not responding0.810.720.950.76
METRO predicted classificationGround truth (manual axial diameter)
IncreasingStableDecreasingUnappreciable
Increasing13210
Stable3673
Decreasing1256
Unappreciable111023
Not respondingResponding
Not responding133
Responding563
BM classificationPrecisionRecallSpecificityF1-score
Increasing0.810.720.950.76
Stable0.320.550.820.40
Decreasing0.360.220.850.27
Unappreciable0.660.720.770.69
Not responding0.810.720.950.76
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