viertys
viertys OP t1_je9srha wrote
Reply to comment by deep-yearning in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
All images have cavities in them and in general the cavities make up 5-10% of the image.
Here is an example: https://imgur.com/a/z0yeH0C The mask on the left is the ground truth and the mask on the right is the predicted one.
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I'm currently using Kaggle and I can't use very large batch sizes. My batch size is 4 now. Is there an alternative to Kaggle that you would suggest?
viertys OP t1_je9nno8 wrote
Reply to comment by BrotherAmazing in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
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
And yes, the images are grayscale and they are cropped around the teeth area, so only that part of the X-ray remains.
viertys OP t1_je9mpwr wrote
Reply to comment by itsyourboiirow in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
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?
viertys OP t1_je9mocy wrote
Reply to comment by deep-yearning in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
I have an accuracy of 98.50 and I have dice of around 0.30-0.65 for each image
viertys OP t1_je9mlvj wrote
Reply to comment by Adventurous-Mouse849 in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
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?
viertys OP t1_je9mjxr wrote
Reply to comment by trajo123 in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
Thank you a lot! I will try SMP
viertys OP t1_je9m705 wrote
Reply to comment by trajo123 in Improvements/alternatives to U-net for medical images segmentation? by viertys
Thank you! I will try
viertys OP t1_je9m4ao wrote
Reply to comment by Yeinstein20 in Improvements/alternatives to U-net for medical images segmentation? by viertys
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
viertys OP t1_je9lv4x wrote
Reply to comment by Environmental_Ice422 in Improvements/alternatives to U-net for medical images segmentation? by viertys
I am currently 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?
viertys OP t1_je6peyv wrote
Reply to comment by azorsenpai in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
I started with U-Net, but I'm open to other architectures. I will try out DeepLab V3, thank you!
I believe the data is generally clean. Sadly, I can't get more data as all the datasets used in the research papers that I've read are private.
viertys OP t1_je6oxpk wrote
Reply to comment by Seahorsejockey in Improvements/alternatives to U-net for medical images segmentation? by viertys
512x512, but I can modify their dimensions
viertys OP t1_je9u6ny wrote
Reply to comment by deep-yearning in [D] Improvements/alternatives to U-net for medical images segmentation? by viertys
Thank you, I will try nnU-net too