Computer Aided Diagnosis of Fungal Infections

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15.2
Опубликовано 5 августа 2019, 18:10
Fungal diseases are an increasing threat to human health around the world and have been estimated to kill more than 1.5M and impact over 1 billion people worldwide each year. Accurate diagnosis and treatment of fungal infections are still challenging in many regions around the world due to the lack of knowledge and training in healthcare professionals. In this collaborative project between Peking Union Medical College Hospital, Beihang University, Pfizer, and Microsoft, we are using computer vision techniques to help doctors diagnosis the most commonly seen fungal infections in hospitals in China. The goal is to create a system that will help fungal infection specialists to more quickly and accurately diagnosis the types of fungal infection and provide relevant information.

See more at microsoft.com/en-us/research/e...
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