tumor otak Computer Vision Project
Updated a year ago
1k
views70
downloadsMetrics
Here are a few use cases for this project:
-
Medical Diagnostics: This model can be used for assisting healthcare professionals in diagnosing brain tumors by classifying them into glioma, pituitary, or meningioma, which can save time and lead to early and accurate disease diagnosis.
-
Health Monitoring Software: It can be implemented in health and wellness apps to monitor a patient's MRI scans regularly, thus providing an early warning system for possible tumor growth.
-
Training medical students and resident doctors: The model can be used as a training tool for medical students and resident doctors to better understand and identify different types of brain tumors from MRI images.
-
Research Studies: It may be used by scientists and researchers for creating more focused and comprehensive studies on brain tumors, contributing to advancements in the respective field of study.
-
Telemedicine: This model can be helpful in telemedicine portals where expert opinion may be lacking. The model could provide initial diagnosis based on MRI scans before a patient consults with a healthcare professional.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tumor-otak-tbpou_dataset,
title = { tumor otak Dataset },
type = { Open Source Dataset },
author = { Sriwijaya University },
howpublished = { \url{ https://universe.roboflow.com/sriwijaya-university-hivwu/tumor-otak-tbpou } },
url = { https://universe.roboflow.com/sriwijaya-university-hivwu/tumor-otak-tbpou },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-12-23 },
}