501(c)(3) organization

Official implementation of the clinical knowledge unification method for the development of the Automatic Urticaria Activity Score (AUAS) by Legit.Health 🩺🤖

A curated list of computational dermatology resources

DermaSwarm is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm cross-checks peer-reviewed dermatology research to ensure diagnosis accuracy, generates treatment plans, and outputs results in easy-to-use JSON format.

Dermatoscopic Image Classification: Exploring the classification of cancerous & pre-cancerous lesions.

Robust Selective Classification of Skin Lesions with Asymmetric Costs

Can deep learning help the everyday user know whether a mole is normal, or whether they should really get that checked out? This project leverages FastAI's ability to fine-tune pre-trained models to create an image classification model capable of distinguishing malignant skin lesions from benign.

A CNN architecture to Diagnosis of Dermatology Melanoma Skin Cancer using parallel convolution.

Calibration of Deep Medical Image Classifiers: An Empirical Comparison using Dermatology and Histopathology Datasets

💊 LesionMapper is a tool and a method for standardized mapping of lesions in Dermatology.

💉 Dermatology EMR

Post obs to OpenMRS without login (For mHealth Apps and sensors)

Análise epidemiológica de pacientes com vitiligo com os instrumentos de Qualidade de Vida DLQI e VitiQoL

💁 Image Analytics Library for Dermatology

Dermatology Data Set

My implementation of a Customer Relationship Managegement (CRM) system, based around a startup pharmaceutical company that centres around dermatology. The system involves CRM as well as graphical sales figures (graphs, top ten sellers/buyers) built from the client's input data.

Symfony bundle for integrate with the Dermatology API