MIScnn
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frankkramer-lab
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Hi Dear Dominik The network test code has been tested as below just on 3 sample case from kits: **from miscnn import * # Create a Data I/O interface for...
Hi, is there any sample code such as kits19 for brats2020 ? actually if there is such a code, it can be a good backbone for huge number of modifications!...
Hello, I'm following the example for the LCTSC_DICOM. I have installed miscnn using pip (python 3.9.1, pydicom 2.1.2). The following gives me an error: from miscnn.data_loading.interfaces.dicom_io import DICOM_interface >>> ModuleNotFoundError:...
Hello, I just have a couple of clarifying questions to ask. I am a little bit unclear how you come up with final 0.9544 Dice coefficient value in the published...
Hi, Dear all contributors, I have tested multi gpu mode and came up with an error: **Restarting kernel...** just by switching the multi gpu flag to True its working some...
Hello, I use MIScnn repo to segment medical images. My data come from **2018 Atrial Segmentation Challenge**. I follow exactly the same way the tutorial says, however, I get the...
Hi, I want to try to run multi-GPU. But when I set GPU number bigger than 1. It output `Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2020-04-01....
Hello, Is there any way to adjust this input image dimensions?  Clearly, case_00300 has different dimensions, compared to the rest of the dataset. Thus, I see the following error:...
Hi, I tried to implement Miscnn on my own dataset and i set the patchwise_skip_blanks=True. However, I got the error below: line 324, in analysis_patchwise_crop pointer = np.random.randint(0, len(patches_img)) File...
Hi, Thanks for your amazing code. Does it support calculation of dice score without background? Thanks, Ram
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A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning