Mehri Mehrnia

Results 12 issues of Mehri Mehrnia

Hi, I try to run MyoPS 2020 which uses nnUNet in the 2nd part of it. I first ran the "!nnUNet_plan_and_preprocess -t 112" and "!nnUNet_plan_and_preprocess -t 112 --verify_dataset_integrity". Now I...

I'm in real need of dataset_conversion.py file for a [MyoPS2020](http://www.sdspeople.fudan.edu.cn/zhuangxiahai/0/myops20) dataset. I tried several trials of nnunet1 and nnunetv2 and did not get any output. Usually I get errors in...

both old version and new versions have issues on colab error in new version of pymic: /content/drive/MyDrive/MyoPS2020/project/PyMIC/pymic/util Traceback (most recent call last): File "/content/drive/MyDrive/MyoPS2020/project/PyMIC/pymic/util/evaluation_seg.py", line 16, in from pymic.util.general import...

I was using nnUNetv2 version that I downloaded in April 2024. it was converging in iteration less than 100. for the exact same dataset, I'm using nnUNetv2 which I downloaded...

why I get error for installing this: !pip install torchquantum I installed the dependencies still having error: -- Configuring incomplete, errors occurred! error: command 'C:\\Users\\mma3012\\AppData\\Local\\Temp\\pip-build-env-zvqyulnt\\overlay\\Scripts\\cmake.EXE' failed with exit code 1...

I wanted to save the augmented,... data , Actually I want to use only the preprocessing of Pymic on my own model. what is the approach?

I wanna change some of the layers, what approach you recommend? I wanna change the unet locally, any advice?

I wanna observe the quantum learning parameters: I use the following the command but every time same thing prints which is the random values that initially were set!!! how this...

with n_epochs=30 I get accuracy of 0.47. but you mentioned "Remark: To reproduce the results of [the paper], num_epochs should be set to 30 which may take many hours. We...

Hi, there are some errors related to codes e.g. in Transfer learning, dressed code: ![image](https://github.com/user-attachments/assets/426c326f-a816-42e6-9cf2-b4defd9b0055) these kind of codes make this hard to use ![image](https://github.com/user-attachments/assets/34584a6a-6840-4e6f-9f3a-fb960ca0af26) unfortunately it does not end...