brain tumor detection Computer Vision Project

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Updated 4 months ago

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Description

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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LICENSE

CC BY 4.0

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 2024-11-11 },
                            }