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The vectors are generally the averages of the vectors as observed in our dataset of about 80 patients. Most of them were handpickd though, and then manually adjusted. And the ones with the TODOs are not correct either.
If all of them are incorrect it might be possible that your lung is incorrectly orientated?
In some cases, the classification of LB1+2, LB3, LB4, LB5 and LB6, LB7+8, LB9, LB10 is wrong and should be in the upper lobe of the class to the lower lobe.
In some cases, RB1, RB2, and RB3 were misclassified.
For this problem, which aspects of the problem is caused?
Is it because the vector is set incorrectly?
How is the vector value in classification.yaml obtained? I found that the vector value was not accurate
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