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In the paper, it's written that the images are randomly divided into three subsets for training, validating and testing, respectively.
While in this repo, authors perform 5-folds cross-validation.
S…
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## Description
The objective would be to generate susceptibility maps of the spine and the brain using segmentations generated for the dataset `whole-spine`.
## Current state
Currently, segme…
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Melanoma imaging [Kaggle](https://www.kaggle.com/competitions/siim-isic-melanoma-classification)
ACEMID 2000 objects, multiple opportunities with the 3D imaging and the proteomic data.
[Pablo F…
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Hello, Thanks for sharing the code. I found that the results of other comparative experiments were exactly the same as some papers, such as MALUNet, Transunet, swinunet, etc. Furthermore, when I run …
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Hi, we found your mamba2 parallelization very similar to the previous '**UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation**' in lightweight medic…
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Hi @yulequan ,
I am trying to reproduce your segmentation results.
I want to understand what specifically you have in your input `.list` file. Do you have file paths like **ISIC_0000000.jpg …
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Hello, we use [the BUSI dataset](https://www.kaggle.com/aryashah2k/breast-ultrasound-images-dataset) similar to single-object segmentation where the gradient cannot descent.
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Hi,
I'm trying to reproduce DeepLab for image segmentation with EDDL starting from [this](https://github.com/deephealthproject/eddl/files/7441233/deeplab_pytorch.txt) PyTorch model, but it achieves a…
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## Keyword: detection
### Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
- **Authors:** Authors: Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Ya…
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