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InVesalius currently does not support the simultaneous visualization of functional and structural MRI. This task will expand the support to processed functional MRI.
It is suggested to add a new ta…
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Hello I am trying to train model on medical dataset I want to generate the images based on text I am using foll0wing script for training but apparently it does not printing training loss and valid los…
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Detect 4 classes of brain tumor using MRI images by Convolutional Neural Network
1. meningioma
2. pituitary
3. glioma
4. no tumor
I will create a web application for it
I would like to work on…
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Hi
back with potentially stupid questions
I am helping out a friend who is a radiologist. He has MRI and CT (computer tomography) images that are in dicom format
Ideally, it'd be able to find a…
toli updated
5 months ago
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Besides in the technical siences 3D data files are used in biomedical studies and even in humanities like archaeology.
For the medical studies that will mostly be 3D volume data like CT-scans and MR…
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### Title
Tools for MRI diffusion in human and non-human primates
### Leaders
- Julien Sein (@julfou81)
- David Meunier
- Arnaud Le Troter
- Hugo Dary
### Collaborators
_No response_…
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Attn @neurolabusc , @tsalo, @pvelasco, @cbinyu and @smoia - may be you could point to some collection of recordings with multiple consecutive functional DICOM acquisitions (so we have multiple TRs pe…
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## 💥 Proposal
Brain Tumor Detection using VGG-16 through images
Dataset to be used : https://www.kaggle.com/datasets/navoneel/brain-mri-images-for-brain-tumor-detection
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My MRI/PET images are all 256x256 pixels. Are there any relevant documents to help me? thank you~
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Is there any example of 3D classification using Swin Transformer using MRI or CT images. Any help would highly appreciated.