HCL Cell Detection Computer Vision Project
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This project is designed to revolutionize the diagnosis of Hairy Cell Leukemia (HCL). With Roboflow, advanced imaging processing and machine learning techniques will be applied to automate the identification of HCL cells based on its morphology shown from microscopic images in low and high magnification, providing accurate and real-time results.
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{
hcl-cell-detection_dataset,
title = { HCL Cell Detection Dataset },
type = { Open Source Dataset },
author = { Southwestern University PHINMA },
howpublished = { \url{ https://universe.roboflow.com/southwestern-university-phinma-j4wsi/hcl-cell-detection } },
url = { https://universe.roboflow.com/southwestern-university-phinma-j4wsi/hcl-cell-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { may },
note = { visited on 2024-06-04 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the HCL Cell Detection project in your project.
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