MedicalDataAugmentationTool
MedicalDataAugmentationTool copied to clipboard
christianpayer
In [this line](https://github.com/christianpayer/MedicalDataAugmentationTool/blob/93a88394bdc55f33596e68ea4b76e06427ea6f01/utils/landmark/landmark_statistics.py#L199), when it is called from [get_per_instance_string](https://github.com/christianpayer/MedicalDataAugmentationTool/blob/93a88394bdc55f33596e68ea4b76e06427ea6f01/utils/landmark/landmark_statistics.py#L399), **max_distance** is None. Which is called from [get_overview_string](https://github.com/christianpayer/MedicalDataAugmentationTool-VerSe/blob/51569f9680e34b0e6dd74bc33587204cf4b2afdf/verse2019/training/main_spine_localization.py#L229) overview_string = landmark_statistics.get_overview_string([2, 2.5, 3, 4, 10, 20], 10) # outlier_radii, per_instance_outliers_radius, correct_id_distance=None...
Hi, guys, I've recently downloaded the Digital Hand Atlas, but there is no annotation, where can I find it? Thanks
hi, in the spine postprocessing, when calculating the pairwise potential there seems to be a line not mentioned in the formula: https://github.com/christianpayer/MedicalDataAugmentationTool/blob/93a88394bdc55f33596e68ea4b76e06427ea6f01/utils/landmark/spine_postprocessing_graph.py#L47 is it there intentionally or just forgotten after...
I've checked the dataset.py code but I do not find the way to get my data ready to train this network. Is there any code to configure new data as...
Hey, this paper is very attractive to me, but l have some problems obtaining the 2D_hand_xray_dataset from the website "http://www.ipilab.org/BAAweb/". Could you tell me if there are other ways to...
Hi, I've read your nice work Integrating spatial configuration into heatmap regression based CNNs for landmark localization, in the paper, you said "we enable learning of the optimal heatmap peak...
Hello. That's a piece of great repository and good papers as well. I'm particularly interested in using spatial configuration for landmark recognition. I wanted to run the 'spine' example, but...
Hello, I would like to ask a question, how do I get the.nii file of the test set?
I encountered another problem was that the prediction label of the MR was inconsistent with the data dimension of the original data Such as: The shape of original data was...
line 109 stat = self.get_ipe_statistics() overview_string = 'IPE:\n' overview_string += f'mean: {stat[0]:.2f}\n' overview_string += f'std: {stat[1]:.2f}\n' overview_string += f'median: {stat[2]:.2f}\n' return overview_string File "", line 3 overview_string += f'mean: {stat[0]:.2f}\n'...
