Melanoma_Detection2023 Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Skin Cancer Diagnosis: Medical professionals can use the "Melanoma_Detection2023" model to assist in diagnosing different types of skin cancers (e.g., melanoma) as well as benign conditions (e.g., seborrheic keratosis).
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Mobile Health Application: Integration of the model into a mobile app for personal health care. Users can snap a picture of suspicious skin spots and get a preliminary analysis, encouraging more timely and informed discussions with dermatologists.
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Educational Tool for Medical Students: The model can be used for training medical students and residents in dermatology to identify various skin conditions, improving their diagnostic skills.
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Telemedicine: Doctors can use this model in telemedicine platforms to analyze patient-submitted images for early detection of melanoma and other skin conditions, facilitating remote health consultations.
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Research: Scientists studying skin diseases can utilize this model to classify and quantify skin conditions in research subjects, assisting in the tracking of disease progression or effectiveness of treatments over time.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
melanoma_detection2023_dataset,
title = { Melanoma_Detection2023 Dataset },
type = { Open Source Dataset },
author = { DeepLearning },
howpublished = { \url{ https://universe.roboflow.com/deeplearning-rl2ln/melanoma_detection2023 } },
url = { https://universe.roboflow.com/deeplearning-rl2ln/melanoma_detection2023 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-11-05 },
}