object detection

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1585 images

Explore Dataset

Here are a few use cases for this project:

Medical Diagnosis: Healthcare professionals can use this model to accurately identify and differentiate between NCP (Novel Coronavirus Pneumonia), CP (Common Pneumonia), and normal health conditions in CT scans. The model could assist in initial diagnosis, reducing the workload of radiologists.
Remote Health Monitoring: The model could be used in telemedicine apps, allowing doctors to diagnose patients remotely by analyzing uploaded images of CT scans.
Automated Health Reports: It could support the generation of automatic health reports based on the detection and interpretation of diseases from CT scans. These reports could support making faster clinical decisions.
Training Medical Students: Educational institutions could use the model as a teaching tool for medical students, allowing them to learn how various diseases including NCP and CP manifest in CT scans.
Insurance Claim Verification: Insurance companies could use the model to verify claims. By analyzing CT scans submitted as part of insurance claim processes, the model can help insurers confirm the legitimacy of the claims.

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{
                            object-detection-diseases_dataset,
                            title = { object detection - diseases Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone2 },
                            howpublished = { \url{ https://universe.roboflow.com/capstone2-tfn8z/object-detection-diseases } },
                            url = { https://universe.roboflow.com/capstone2-tfn8z/object-detection-diseases },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-29 },
                            }