Burkitt Lymphoma AI Detection Project by Jhaddyle Anib Computer Vision Project
This AI project seeks to detect presence of Burkitt Lymphoma by using various histopathological images. The focus will be on utilizing peripheral blood smears to identify distinctive disease characteristics, such as the "starry sky" pattern exhibited by macrophages, a high mitotic index, and the abundance of apoptotic cells, all observed under low-power field magnification.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
burkitt-lymphoma-ai-detection-project-by-jhaddyle-anib_dataset,
title = { Burkitt Lymphoma AI Detection Project by Jhaddyle Anib Dataset },
type = { Open Source Dataset },
author = { Southwestern University },
howpublished = { \url{ https://universe.roboflow.com/southwestern-university-ajrws/burkitt-lymphoma-ai-detection-project-by-jhaddyle-anib } },
url = { https://universe.roboflow.com/southwestern-university-ajrws/burkitt-lymphoma-ai-detection-project-by-jhaddyle-anib },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Burkitt Lymphoma AI Detection Project by Jhaddyle Anib project in your project.