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This repository has been archived by the owner on May 30, 2023. It is now read-only.
User feedback:
A data-related issue I saw; those preprocessing steps may not be suitable for non-natural scenery or other possible cases. For retinal images, it really messes with the image characteristics. for example, a very bright but small exudate in the middle of the image causes the rest of the image to go fully dark after a preprocessing step (not sure which one though). I would be careful in applying the preprocessing steps randomly and without considering the nature of the images.
The text was updated successfully, but these errors were encountered:
Yes, will be improved with the function of health check. Users will decide with features that they want to check and normalization with preprocessing.
With MVP, random preprocessing is not a good approach. @pcaversaccio
User feedback:
A data-related issue I saw; those preprocessing steps may not be suitable for non-natural scenery or other possible cases. For retinal images, it really messes with the image characteristics. for example, a very bright but small exudate in the middle of the image causes the rest of the image to go fully dark after a preprocessing step (not sure which one though). I would be careful in applying the preprocessing steps randomly and without considering the nature of the images.
The text was updated successfully, but these errors were encountered: