Name: SkinCare_Benign Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

Health Application Integration: The "SkinCare_Benign" model can be integrated into health-focused mobile applications. By allowing users to take a photo of a skin concern, the app can provide preliminary indications if the lesion might be benign skin cancer.
Medical Training: The model could be used in training modules for medical students, dermatologists, and other healthcare professionals. They can use it to gain a better understanding of how to identify benign skin cancers visually.
Telehealth Services: Doctors can use "SkinCare_Benign" to prescreen patient photos during remote healthcare consultations. This would help prioritize urgent cases, provide an initial evaluation, and make telemedicine more efficient.
Pharmaceutical Research: The model could be used by pharmaceutical companies and research labs to analyze the effectiveness of newly developed skin cancer treatments. The company could visually inspect whether the treatment shrinks or eliminates the identified benign skin cancer over time.
Personal Healthcare Devices: Integration of the "SkinCare_Benign" model into personal healthcare devices such as skin analysers, allowing individuals to regularly monitor their skin condition at home and detect potential issues early.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            skincare_benign_dataset,
                            title = { SkinCare_Benign Dataset },
                            type = { Open Source Dataset },
                            author = { SkinCareDetection },
                            howpublished = { \url{ https://universe.roboflow.com/skincaredetection/skincare_benign } },
                            url = { https://universe.roboflow.com/skincaredetection/skincare_benign },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jul },
                            note = { visited on 2024-06-29 },
                            }