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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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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Glioma MRI Human Brain Tumor Detection
:red_circle: **Aim** : The aim is to identify the brain tumors f…
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I have the dataset with four classes . I want to convert the NIFTI images to jpg to develop a model for classification
I am still debugging this segments of the code:
base_path=os.path.abspath…
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### Describe the Bug
When loading MRI series images, the speed is quite slow, and MPR not work with large series (I testing with series >1000 images)
And when I scroll the image, I still find the …
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**Is your feature request related to a problem? Please describe.**
We are working on a project where the interpretation of a pathological finding depends on the context of multiple MRI sequences. Spe…
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Documents describe below:
"Steps:
1.Spatially normalize FDG-PET to MNI using SPM12 Normalize.
There is a group template option for PET: first a group template is created, then all subjects are norm…
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**Submitting author:** @agahkarakuzu (Agah Karakuzu)
**Repository:** https://github.com/agahkarakuzu/mriscope
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** @pbel…
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**Is your feature request related to a problem? Please describe.**
I trained a model with the Auto3dSeg Autorunner and was trying to run inference using the SlicerMONAIAuto3DSeg extension (https://…
che85 updated
5 months ago
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Quote from Slack channel:
> I found something strange. So I did again the same patient that we walked through together, after freesurfer recon and co-regist (both with MRI_ACPC), I plotted the over…
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After importing _many_ MRI/CT images, their concurrent display may eat up the entire memory. This should be avoided by either displaying at most _n_ concurrent MRI/CT images or something similar.
…