Melanoma_Detection2023 Object Detection Dataset and Pre-Trained Model by DeepLearning

Images

2148 images

Explore Dataset

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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

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 2024-06-14 },
                            }