Dental image processing protocol for dental aligners

An apparatus for pixel-based classification of medical images, comprising:

• processing circuitry configured to
• train a neural network to perform the pixel-based classification of the medical images, the training comprising
• performing a first training on a classifier using a first training set of medical images, pixels of the first training set of medical images being manually labeled,
• applying the classifier after the first training to a second training set of medical images to classify pixels of the second training set of medical images,
• identifying and correcting incorrectly classified pixels of the second training set of medical images, and
• performing a second training on the classifier after the first training using the manually labeled first training set of medical images and the correctly classified second training set of medical images, and
• apply the classifier after the second training to the medical images to perform the pixel-based classification, the pixel-based classification of the medical images including assigning pixels of each medical image to a biological structure type.

A non-transitory computer-readable storage medium storing computer-readable instructions that, when executed by a computer, cause the computer to perform a method of pixel-based classification of medical images, the method comprising:

• training a neural network to perform the pixel-based classification of the medical images, the training comprising
• performing a first training on a classifier using a first training set of medical images, pixels of the first training set of medical images being manually labeled,
• applying the classifier after the first training to a second training set of medical images to classify pixels of the second training set of medical images,
• identifying and correcting incorrectly classified pixels of the second training set of medical images, and
• performing a second training on the classifier after the first training using the manually labeled first training set of medical images and the correctly classified second training set of medical images;
• and
• applying the classifier after the second training to the medical images to perform the pixel-based classification, the pixel-based classification of the medical images including assigning pixels of each medical image to a biological structure type.