w210_teledermatologyAI Computer Vision Project

rubyhan@berkeley.edu

Updated a month ago

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Classes (5)
Benign Marking or Mole
Non-Cancerous Skin Condition
Potentially Malignant Skin Tumors
Toxin
Unclassified
Description

Here are a few use cases for this project:

  1. Remote Dermatology Consultations: Enable doctors to diagnose and provide treatment recommendations for various skin conditions by analyzing patient-submitted images, without the need for in-person visits. This will be especially helpful for those living in rural areas with limited access to dermatologists.

  2. Skin Health Tracking Apps: Integrate the computer vision model into mobile or web applications to allow users to monitor their skin health over time, by capturing and analyzing images of any new or changing skin conditions, moles, or markings.

  3. Education and Training: Utilize the w210_teledermatologyAI model as a teaching tool for medical students or healthcare professionals to improve their skills in diagnosing a range of skin conditions and recognizing potentially malignant skin tumors.

  4. Skin Care Product Development: Support the research and development of skincare products by giving insights into the effectiveness of new treatments or ingredients on various skin conditions, achieved by analyzing before and after images.

  5. Public Health and Prevention Programs: Identify individuals at higher risk of developing skin cancer or other skin conditions through mass screenings, by integrating the computer vision model into the program's analysis process. Provide these individuals with appropriate preventive measures and health education to reduce the incidence of serious skin conditions.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            w210_teledermatologyai_dataset,
                            title = { w210_teledermatologyAI Dataset },
                            type = { Open Source Dataset },
                            author = { rubyhan@berkeley.edu },
                            howpublished = { \url{ https://universe.roboflow.com/rubyhan-berkeley-edu/w210_teledermatologyai } },
                            url = { https://universe.roboflow.com/rubyhan-berkeley-edu/w210_teledermatologyai },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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