Melanoma_Detection2023 Computer Vision Project

DeepLearning

Updated 2 years ago

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Classes (6)
Melanoma
Nevus
lentigo NOS
lichenoid keratosis
seborrheic keratosis
unknown

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Description

Here are a few use cases for this project:

  1. 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).

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 2024-12-03 },
                            }