Labeled MRI Brain Tumor Dataset Computer Vision Project
YoloV8YoloV10Comparision
Updated 3 months ago
Description
This project has created a labeled MRI brain tumor dataset for the detection of three tumor types: pituitary, meningioma, and glioma. The dataset contains 2443 total images, which have been split into training, validation, and test sets. The training set has 1695 images, the validation set has 502 images, and the test set has 246 images.
Data:
- Number of images: 2443
- Image types: MRI scans
Classes:
- Pituitary tumor
- Meningioma tumor
- Glioma tumor
- No Tumor
Split:
- Training set: 1695 images
- Validation set: 502 images
- Test set: 246 images
Labeling:
- The images have been labeled by medical experts using a standardized labeling protocol.
- The labels include the type of tumor and the location of the tumor.
Potential Applications:
- This dataset can be used to train machine learning models to automatically classify brain tumors.
- The models could be used to assist radiologists in diagnosing brain tumors.
- The dataset could also be used to develop new treatments for brain tumors.
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Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
labeled-mri-brain-tumor-dataset-jwgzs_dataset,
title = { Labeled MRI Brain Tumor Dataset Dataset },
type = { Open Source Dataset },
author = { YoloV8YoloV10Comparision },
howpublished = { \url{ https://universe.roboflow.com/yolov8yolov10comparision/labeled-mri-brain-tumor-dataset-jwgzs } },
url = { https://universe.roboflow.com/yolov8yolov10comparision/labeled-mri-brain-tumor-dataset-jwgzs },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-12-23 },
}