Open gustn9609 opened 9 months ago
a, b, c and d contain diseased teeth. If you want a dataset with only healthy teeth, you have to take c and filter all images out with at least 1 diseased tooth. I think there are 27 images with healthy teeth only, which is maybe not enough for training. But for pretraining it is probably not necessary to have healthy teeth only.
Hi,
I'd like to pre-train a generative model using this dataset. And I just need a normal (non-disease) dataset.
If so, do I only need to use (a) and (b) in the dataset? In other words, are (a) and (b) all normal data?(what about (d)?)
(a) 693 X-rays labeled for quadrant detection and quadrant classes only, (b) 634 X-rays labeled for tooth detection with quadrant and tooth enumeration classes, (c) 1005 X-rays fully labeled for abnormal tooth detection with quadrant, tooth enumeration, and diagnosis classes. (d) unlabeled