Melanoma_Detection2023 Computer Vision Project
Updated 2 years ago
174
14
Metrics
Here are a few use cases for this project:
-
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).
-
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.
-
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.
-
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.
-
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-12-03 },
}