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Traceback (most recent call last):
File "train.py", line 340, in
trainer = Trainer(args)
File "train.py", line 167, in __init__
aux=args.aux, norm_layer=BatchNorm2d).to(self.device)
…
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The data is stored in `duke/mri/basel/6900_nifti_20` and the segmentations in `duke/mri/basel/6900_20_lesions-PD`
The steps are the following:
- [x] A git-annex repo should be created :
- [x] T…
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## Visualization
- [x] `vis_insntace_segmentation` (#541)
## Datasets
- [x] `COCOInstanceSegmentationDataset` ([draft](https://github.com/yuyu2172/coco-evaluation/blob/master/instance_segmentatio…
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I note that Deepcell provides both a segmentation (nuclear channel only) and mesmer (nuclear and cytoplasm) model (https://www.deepcell.org/predict)
Our datasets do not have a single general cytoplas…
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We recently received some insights and feedback from a renowned professor who majored in image security. His comments are valuable, and we want to share them with you. Let's first quote his questions …
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Hi!
As reported in the technical report, promptSAM utilized one shot and zero-shot learning.
What is the implementation detail? To be more specific, which data are used for training? And for one…
ghost updated
3 months ago
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First, I want to express my sincere gratitude for TotalSegmentator. Your open-source contribution is invaluable to the medical imaging community.
I'm currently working on an L3 vertebra detection…
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Please create a table to include the recent algorithms and their performances on the major datasets.
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I have trained on the task4(end to end) of icdar2015. And now I need to train on the task2(text segmentation) of icdar2013 but I don't know how to input the datasets.
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Data are needed to be prepared for all below test systems to evaluate and validate ShapeWorks tools.
In house:
- [x] left atrium (LA)
- [x] left atrium appendage (LAA) with LA
- [x] right ventri…