PressureUlcer Object Detection Dataset and Pre-Trained Model by fid

Images

481 images

Explore Dataset

Here are a few use cases for this project:

Healthcare Monitoring: The "PressureUlcer" model can be used in hospitals, care homes, or remote patient monitoring systems to continually track the progress of patients with pressure ulcers. This can facilitate more efficient treatment and prevention protocols by identifying stage progression at an early stage.
Telemedicine: In telehealth applications, patients or caregivers can upload images for remote evaluation by medical professionals. This model can make preliminary identifications of pressure ulcer stages to assist doctors in diagnosis and to expedite patient care in areas with limited direct medical access.
Medical Training and Education: This model can serve as an educational tool for medical students and healthcare professionals. It can help them learn to identify different stages of pressure ulcers, understand their progression and implement the right treatments.
Clinical Research: Researchers can use the model to easily classify and analyze pressure ulcers at different stages. It can aid in understanding factors and variables contributing to the progression of pressure ulcers, improving treatments, and developing preventive strategies.
Healthcare Technology Development: "PressureUlcer" could be integrated into wearable technology for patients at risk of developing pressure ulcers. If the device detects any changes indicative of ulcer development or progression, an alert could be sent to the patient or healthcare provider to take immediate action.

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{
                            pressureulcer-ctn4w_dataset,
                            title = { PressureUlcer Dataset },
                            type = { Open Source Dataset },
                            author = { fid },
                            howpublished = { \url{ https://universe.roboflow.com/fid-fvcc6/pressureulcer-ctn4w } },
                            url = { https://universe.roboflow.com/fid-fvcc6/pressureulcer-ctn4w },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-16 },
                            }