pycox

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Use Unet as a net for feeding it to logistichazard

3

Hi Havard. I have some MRI images from liver. All of them contain tumors. I wanted to predict the survival functions from these images. for images there was one example...

mahootiha-maryam

Transfer Learning - DeepHit with competing risk

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ygivenx

logistichazard and coxph basics

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Hi Havard. I wanted to use Logistichazard that is based on Nnet_survival. I couldnt find the architecture of this net. In which file I can understand the architecture? In addition...

mahootiha-maryam

Facing error for batch size that is greater than 1

1

Hi Havard. I have 56, 3d MRI images(NIFTI). I preprocessed them with Monai library. I made data loader for them. dl_train = DataLoader(dataset_train, batch_size=10, shuffle=True, collate_fn=collate_fn) dl_val = DataLoader(dataset_val, batch_size=10,...

mahootiha-maryam

Experience in train/val/test partitions with survival data in real-world datasets

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Hi @havakv ! I was in touch a few months ago to do a GNN implementation to use pycox losses in that setting. I am moving to a real-world dataset...

paulamartingonzalez

Is it possible to apply saliency map or grad-cam with pycox?

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Hi ! Many thanks for this great work! I'm wondering can we have a simple example of applying saliency map or grad-cam on pycox (or torchtuples) models? or a simple...

chingheng113

Applying SHAP to pycox models

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Dear @havakv Sir, first of all I want to say thank you for maintaining this amazing python package for survival analysis! However, I am trying to apply SHAP (https://github.com/slundberg/shap), a...

VanishingRasengan

16bit + Deterministic Training

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I have prepared this pull request to make the package more compatible with 16bit training and deterministic training. In the `models.utils.log_softplus` I added a simple line to save the input...

BardiaKh

trouble in reading flchain data

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Hi, thanks for this helpful package! When I tried to do experiments on flchain dataset, it returns: urllib.error.HTTPError: HTTP Error 404: Not Found Could you check that. Thanks a lot!

bingqing0729

Training using PyTorch training loop

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Thank you for developing such a useful package and also maintaining it over time. I was wondering if there is a way to use the loss functions as vanilla loss...

BardiaKh