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# Contrastive Language-Image Pre-training (CLIP) Driven Models and Partially Supervised Learning for Medical Image Segmentation
This issue is to discuss adding the CLIP-Driven Universal Model Featu…
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Sorry, maybe I'm thick but I can't figure out what format of volumetric data should be in the dataset?
In the image_folder.py the specified formats are .jpg, .jpeg, .png, .mbp and .ppm, which are fro…
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We already have two foundation models for basic whole brain and whole body segmentation.
1. whole brain segmentation model (133 brain structures) for T1 MRI.
2. whol body segmentation model (104 t…
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**Describe the bug**
In the "Create TciaDataset" step of the notebook if you enter a collection with spaces (e.g. "Lung Phantom") into the collection variable it produces an error. Here is the relev…
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Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in learning the prediction of Lung Cancer, based on segmentation of images, using Computer Vision.
Dataset : https://wi…
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In the project "lung_nodule_ct_detection", how to add the configuration for resuming training and loading a pre-trained model.pt?
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Thanks for providing this awesome dataset.
Looking at the `train_predicted_labels.csv` and `valid_predicted_labels.csv` files from huggingface, I get different numbers of class counts presented in …
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Hi there
I am wondering why the **a_min** and **a_max** values for ScaleIntensityRanged in train.py are set to -175 and 250. The normal range for intensity is typically -1000 to 1000. Is there a spec…
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Dear authors,
Thank you for making this repository public!
I am starting off by playing around with your code, especially with the inference_colab_demo.ipynb. I am trying to run inference on some of…
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I am currently analyzing a lung CT data set. A simple task is to obtain the pixel spacing of the image for statistics. When I use niread(), I have to wait for an entire image array to be read from the…