ibrahimethemhamamci/dentex

MICCAI 2023 & Dental Enumeration and Diagnosis on Panoramic X-rays Challenge

dentex's Issues

Dataset annotation

I am new to working with this dataset and I'm trying to understand the specifics. Could you provide information on the unit of measurement for the "Area" attribute in the JSON file? Additionally, I'm curious about the presence of both the "Bbox" and "Segmentation" attributes. Isn't one of them sufficient for working ?

dataset

Hello! I am a beginner, where can I download this dataset?

Questions about test dataset annotations

@ibrahimethemhamamci Thank you for your contribution to dental disease detection. However, I've encountered an issue. I've seen the values of 'label' in the annotation file of the test set as shown below, could you explain the meaning of the label values

6-g\u00f6m\u00fcl\u00fc-38

1-\u00e7\u00fcr\u00fck-26

3-kanal-36

2-k\u00fcretaj-35

7-lezyon-37

5-\u00e7ekim-16

It's possible that these are Unicode encodings, but the corresponding Turkish words don't seem to match the disease category names.

Not able to run the code

dataset question

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