Roboflow Universe Capstone Project TB Detection

TB Detection Computer Vision Project

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Here are a few use cases for this project:

Healthcare Diagnostics: Physicians and health workers use the "TB Detection" model to aid in diagnosing tuberculosis by quickly analyzing chest X-ray images.
Telemedicine Services: The model can be integrated into a telemedicine application, enabling remote diagnosis of tuberculosis for patients who can't access healthcare facilities.
Public Health Screening: In public health crises, such as pandemics, this model can be used to conduct mass screening for TB, especially in high-risk areas.
Medical Training: The model can be used as a training tool for medical trainees, helping them to identify indications of tuberculosis in chest X-rays.
Clinical Research: Researchers may use this algorithm to quantitatively analyze large numbers of images more quickly, potentially discovering new insights about the progression and manifestations of tuberculosis.

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{
                            tb-detection-pigkb_dataset,
                            title = { TB Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone Project },
                            howpublished = { \url{ https://universe.roboflow.com/capstone-project-jkwwi/tb-detection-pigkb } },
                            url = { https://universe.roboflow.com/capstone-project-jkwwi/tb-detection-pigkb },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-15 },
                            }