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monkeypox

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Official implementation of the published paper "Tri-Net: Unified Deep Learning for Skin Lesion and Symptom-Based Monkeypox Detection" (Scopus Q1, SCI-E, IF 3.9), featuring a reproducible Tri-Net v2 framework with modern backbones, feature fusion, explainability, and benchmarking.

  • Updated Jul 13, 2026
  • Python
monomap

This project involves creating a scalable, CRUD REST API to manage Monkeypox cases in Mexico using Node.js, TypeScript, and MongoDB. Includes email notifications with Mapbox integration, and a cron job to check for new cases every 10 seconds. The API is containerized with Docker and uses GitHub Actions for automated Docker image building.

  • Updated Dec 3, 2024
  • TypeScript

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