brain tumor detection Computer Vision Project
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I developed a brain tumor detection project using YOLOv10 on Roboflow to accurately identify and classify brain tumors from medical imaging. The model is trained on a diverse dataset of MRI scans, focusing on three primary tumor types: gliomas, meningiomas, and pituitary tumors. With a high recall of 93.9%, the model effectively detects most tumor cases, ensuring critical cases are not missed, while achieving a precision of 63.4%, balancing sensitivity and specificity. This project aims to assist radiologists in early and accurate tumor detection, ultimately improving patient outcomes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
brain-tumor-detection-lc3er_dataset,
title = { brain tumor detection Dataset },
type = { Open Source Dataset },
author = { my projects },
howpublished = { \url{ https://universe.roboflow.com/my-projects-anbds/brain-tumor-detection-lc3er } },
url = { https://universe.roboflow.com/my-projects-anbds/brain-tumor-detection-lc3er },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-11-28 },
}