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zakruti.com » IT - Software » freeCodeCamp.org
PyTorch and Monai for AI Healthcare Imaging - Python Machine Learning Course

PyTorch and Monai for AI Healthcare Imaging - Python Machine Learning Course

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Rating: 4.0; Vote: 1
Learn how to use PyTorch, Monai, and Python for computer vision using machine learning. One practical use-case for artificial intelligence is healthcare imaging. In this course, you will improve your machine learning skills by creating an algorithm for automatic liver segmentation. ) Introduction (0:02:11) What is U-Net (0:13:21) Software Installation (0:22:35) Finding the Datasets (0:35:11) Preparing the Data (2:49:08) Installing the Packages (3:03:56) Preprocessing (3:50:14) Errors you May Face (4:12:06) Dice Loss (4:21:44) Weighted Cross Entropy (4:33:09) The Training Part (4:50:04) The Testing Part (5:01:50) Using the GitHub Repository
Date: 2022-03-14

Comments and reviews: 5


It's a possibility but it must be logical and with policies.
We will used this planet resources.
The totality of science used isnt it's maximum potential.
Having longer life of 200 years and slowing aging is more likely to happen but on aspects that our resources would not be depreciated.
We will decide on this.
How will the world behave and process things will define its own future.
Right now, we have the capability and capacity to terraform planets.
I just need two nations or several ,if the rest would not do what it should be to fix things or increases instability
I'm sorry.
That life.

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first thanku very much for such amazing explanation , but i wanna ask a question -
the data i have some patients have 20 dicoms slices and aothers have 400 dicoms slices so i wanna divide into groubs like u did -
so i divide in which each group have 20 dicoms in it or 64 dicoms or what?? -
to convert each group into nifti file

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Hey I just had a quick question, can we train a U-net model to detect multiple instances of an object present in a single image or is it good for training models to detection of a single instance per image
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after running up the train file im having this error
RuntimeError: Sizes of tensors must match except in dimension 4. Got 64 and 63 (The offending index is 0)

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Hello, what is the best compiler for the C ++ language that I can download on my phone so that I can see the execution time of the program?
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