Project case study
🧬 AI Skin Cancer Detection Challenge - ISIC 2024
High-sensitivity medical imaging case study for skin cancer triage using realistic 3D total-body photography
In this competition, I developed a deep learning model to detect histologically confirmed skin cancer from smartphone-quality lesion images captured from 3D total body photography. The goal was to create a binary classification system capable of identifying malignant vs. benign lesions, even in low-resource or non-clinical settings where specialized dermatologic care is unavailable.
Related Projects
Open channels
Follow the work
AI engineering, data platforms and applied machine learning, shared through practical case studies and shipped systems
Privacy-friendly analytics may be used to understand aggregate visits and improve the site experience.