Smart Dermatology Demo
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Amazon Web Services768 тыс
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03.04.19 – 5 08724:24Популярные
12 дней – 4921:49
Опубликовано 3 апреля 2019, 17:44
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Medical Imaging is a field which is seeing great benefits from machine learning techniques. It has potential to revolutionize access to healthcare, traditionally underserved populations, overcoming challenges like cost, remoteness of locations and poor doctor to patient ratios in overburdened healthcare systems.
This demo showcases how Amazon SageMaker can help build intelligent software solutions which, aids in the diagnosis of skin conditions when presented with a picture of an affected area of the body.
Learn how this workflow can be integrated with the larger healthcare ecosystem – including insurance providers, paramedical and medical professionals to benefit customers. Let us demonstrate how this software can be deployed on ‘edge’ computing devices like AWS DeepLens or a Raspberry Pi to perform this diagnostic activity without needing a connection to the Internet. This can be a boon to areas with limited mobile or internet access, or inhospitable terrain for example, allowing healthcare professionals to serve populations in these areas.
Speaker: Tapan Hoskeri, Solution Architect, AISPL
Medical Imaging is a field which is seeing great benefits from machine learning techniques. It has potential to revolutionize access to healthcare, traditionally underserved populations, overcoming challenges like cost, remoteness of locations and poor doctor to patient ratios in overburdened healthcare systems.
This demo showcases how Amazon SageMaker can help build intelligent software solutions which, aids in the diagnosis of skin conditions when presented with a picture of an affected area of the body.
Learn how this workflow can be integrated with the larger healthcare ecosystem – including insurance providers, paramedical and medical professionals to benefit customers. Let us demonstrate how this software can be deployed on ‘edge’ computing devices like AWS DeepLens or a Raspberry Pi to perform this diagnostic activity without needing a connection to the Internet. This can be a boon to areas with limited mobile or internet access, or inhospitable terrain for example, allowing healthcare professionals to serve populations in these areas.
Speaker: Tapan Hoskeri, Solution Architect, AISPL
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