The Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data.
After training, it was able to correctly identify organoids and necrosis.
The python program (see linked GitHub) then uses the masks to annotate the images and provide statistics about the colonies.
The Segformer-Cityscapes model was changed to a ternary classifier and fine-tuned on custom training data.
After training, it was able to correctly identify organoids and necrosis.
The python program (see linked GitHub) then uses the masks to annotate the images and provide statistics about the colonies.
The SegFormer Cityscapes model was changed to a ternary classifier (source script in GitHub) and fine-tuned on a custom made dataset.
The trained model was then able to correctly identify colonies and necrosis from microscope images.
The python program (see linked GitHub) then uses these masks to circle colonies, necrosis, and provide statistics.
