Roboflow Universe virussegmentation Virus Segmentation

Virus Segmentation Computer Vision Project

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Here are a few use cases for this project:

Medical Research: Identify and classify different virus types in microscopic images, aiding virologist researchers in their study of these diseases.
Healthcare Clinical Diagnosis: Help doctors and healthcare professionals in diagnosing viral diseases within a quicker period, improving response times and overall disease management.
Pharmaceutical Development: Assist pharmaceutical companies in understanding the physical characteristics of a variety of viruses, aiding in the development of antiviral treatments and vaccines.
Public Health Monitoring: Support public health departments in proactively monitoring and identifying the occurrence and spread of various viruses in their areas.
Biotechnology Innovations: Provide resources for biotechnology firms focusing on innovative solutions like virus-based therapies, by identifying different types of viruses.

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{
                            virus-segmentation_dataset,
                            title = { Virus Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { virussegmentation },
                            howpublished = { \url{ https://universe.roboflow.com/virussegmentation/virus-segmentation } },
                            url = { https://universe.roboflow.com/virussegmentation/virus-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-03 },
                            }