Table 1 Distribution of data for VF classification and segmentation: this provides information on the total number of images as well as the counts that are assigned to training, test sets, and validation sets.

From: A machine learning approach for vocal fold segmentation and disorder classification based on ensemble method

Domain

Training set

Validation set

Test set

Total data

Classification

10,377

1152

1281

12,810

Segmentation

18,000

3000

3000

24,000

  1. This information is useful for developing and assessing models.
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