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Intro
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Overview
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convolutional neural network
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inception model
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why is deep learning becoming popular
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diabetic retinopathy
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image classification
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under and over diagnosis
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biopsy
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genomics
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basic genetics
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human genome
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internet scale
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genome sequencing
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genomics data
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variant calling
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code
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diagram
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convolutional network
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blind experiment
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open source
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Agriculture
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Genetics
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Selective Breeding
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Why is it so cheap
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Combining genetic and environmental data
Description:
Explore deep learning applications in medicine through this GOTO Amsterdam 2018 conference talk. Delve into the use of convolutional neural networks for detecting genetic variations in human genome sequencing data. Learn about DeepVariant, a tool that outperforms existing genotyping methods and generalizes across genome builds and species. Discover how deep learning advances image recognition, particularly in diabetic retinopathy diagnosis. Gain insights into basic genetics, genome sequencing, and variant calling. Understand the intersection of deep learning with genomics, agriculture, and selective breeding. Examine the potential of combining genetic and environmental data for improved diagnostics and research outcomes.

Deep Learning in Medicine - An Introduction and Applications to Next-Generation Sequencing and Disease Diagnostics

GOTO Conferences
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