Submitted by viertys t3_125ximj in deeplearning
Yeinstein20 t1_je8trp8 wrote
Your dataset is rather small and it seems you are not really doing Augmentations? I would try different Augmentations, that should improve your results regardless of the used model. Have you looked at some frameworks for medical image segmentation? nnUNet comes to mind which would give you a solid baseline. How good are your results currently?
viertys OP t1_je9m4ao wrote
I didn't mention it in the post, but I'm using the albumentations module. I rotate, shift, rotate, blur, horizontal flip, downscale and use gauss noise. I get around 400 images after doing this. Is there anything you would suggest?
I have an accuracy of 98.50 and I have dice of around 0.30-0.65 in each image
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