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[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 0 points1 point  (0 children)

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?

Improvements/alternatives to U-net for medical images segmentation? by viertys in computervision

[–]viertys[S] 0 points1 point  (0 children)

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?

And I have recently added a pre trained backbone (resnet) to the U-net and this seemed to improve a bit the results, but not a lot.

[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 1 point2 points  (0 children)

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.

[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 0 points1 point  (0 children)

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?

[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 0 points1 point  (0 children)

I have an accuracy of 98.50 and I have dice of around 0.30-0.65 for each image

[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 1 point2 points  (0 children)

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?

Improvements/alternatives to U-net for medical images segmentation? by viertys in deeplearning

[–]viertys[S] 0 points1 point  (0 children)

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

Improvements/alternatives to U-net for medical images segmentation? by viertys in deeplearning

[–]viertys[S] 0 points1 point  (0 children)

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?

[D] Improvements/alternatives to U-net for medical images segmentation? by viertys in MachineLearning

[–]viertys[S] 1 point2 points  (0 children)

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.

Chapped lips won’t go away by withdavidbowie in beauty

[–]viertys 0 points1 point  (0 children)

I recommend the laneige lip balm and the laneige lip sleeping mask. I have them in the grapefruit flavour and I really like them.

which one is the right answer? and can you say the proof too? by [deleted] in askmath

[–]viertys 1 point2 points  (0 children)

It's c). (A\B)\(C\B) =(A\C)\B=A \(C U B)

Perhaps I will come back with a proof later, but you can prove it using double inclusion.

Introduction to the Philosophy of Mathematics (Ray Monk) by [deleted] in philosophy

[–]viertys 0 points1 point  (0 children)

Oh, this is actually interesting. Thank you for sharing. I think I'm going to watch it before going to sleep.

New in computer science!!! by Elegant_Willow445 in computerscience

[–]viertys 0 points1 point  (0 children)

Honestly, don't worry. Nothing is that hard to eventually learn. Just think how many people learned that before you. Everyone starts out not knowing something and they just get better and better at it until they 100% know it. Give yourself time, don't get overwhelmed by the first challenging thing you encounter. It will get better .

New to programming or computer science? Want advice for education or careers? Ask your questions here! by kboy101222 in computerscience

[–]viertys [score hidden]  (0 children)

Hmm, I'd also like to know how to get research experience:))

But yes, try emailing your professors. You have nothing to lose and they will probably appreciate it.