Development and Integration of an Artificial Intelligence Model for Medical Image Detection and Segmentation
Project
This project involves developing and integrating an AI model for medical image detection and segmentation into an ophthalmic surgery device to assist with incisions. Implemented under Linux using Python (PyTorch) and C++, it meets strict real-time constraints (processing time < 750 ms) and medical precision requirements (tolerance of 6 µm).
Key challenges include embedded optimization, UML documentation, and compliance with healthcare standards. The results achieved demonstrate a remarkable accuracy of 97.5% on corneal interfaces.
Our achievements
Each project reflects our ability to turn critical requirements into concrete solutions. From embedded software layers to functional safety, Médiane Système brings together all of its expertise to deliver innovative, robust, and production-ready solutions.
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