brain_segmentation
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naldeborgh7575
I have obtained the segmentation results,I will evaluate the results,but i don't have the ground truth of testing dataset.I find that many people evaluate on the online platform,but i need...
As defined in ` SegmentationModels.py` function `def get_dice_coef(self, test_img, label):` requires labelled ground truth image `label`. I created the same using `save_labels` in `brain_pipeline.py` of size 240 X 240 ....
 well while I'm running this code on windows platform and i downloaded all the required libraries required in code all 4 files are running without...
Hi Nikki, I am trying to replicate your model for brain tumour segmentation to explore image analysis tools and algorithms. After carefully implementing your model, I got either completely blank...
Hey, I am getting just a black image if I am trying to visualize the predicted image. imgs = sitk.GetArrayFromImage(sitk.ReadImage(tests[10])) plist = [] # create patches from an entire slice...
In the Readme, you say: > I employed an n4ITK bias correction on all T1 and T1C images in the dataset (code), which removed the intensity gradient on each scan....
Hi Thanks for the wonderful explanation. I would like to know how you created those 3D images ,are they particular slice ,so represented in 2D or you used tool? If...
