Здравоохранение – система классификации рентгенологических заболеваний грудной клетки

Chest X-ray exams are one of the most frequent and cost-effective medical imaging examinations. We developed an end-to-end deep learning-based disease classification system for X-ray images. The method can automatically process and identify different abnormalities in a human chest. The objective is to provide a diagnostic tool for clinicians to enable early detection and treatment, and thereby improve patient outcomes while lowering the overall costs of medical care.

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