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1
Intro
2
Goals
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Histopathologist
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White Rabbit
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Stardust
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Preprocessing
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Contrast
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Classification
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Autoencoder
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Examples
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Decoder
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Neural Network
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Results
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Archives of the Hospital
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Digitalization
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Storage
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Reference Links
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Questions
Description:
Explore how Kubernetes clusters and AI collaborate in the fight against cancer in this 27-minute conference talk. Discover the power of computational biology, which combines AI, medicine, mathematics, statistics, IoT, and cloud computing to enhance diagnostic precision and capacity. Learn about the processing of cancer images and witness real-world examples of AI algorithm development and deployment on geographically distributed Kubernetes clusters. Understand how these technologies enable doctors to perform life-saving treatments by analyzing thousands of cases daily. Delve into topics such as histopathology, image preprocessing, contrast enhancement, classification, autoencoders, neural networks, and the challenges of hospital data digitalization and storage.

Kubernetes and AI in Cancer Diagnosis and Treatment

CNCF [Cloud Native Computing Foundation]
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