Article

Automating Morphological Profiling with Generic Deep Convolutional Networks

2016-11-02

Abstract excerpt

Morphological profiling aims to create signatures of genes, chemicals and diseases from microscopy images. Current approaches use classical computer vision-based segmentation and feature extraction. Deep learning models achieve state-of-the-art performance in many computer vision tasks such as classification and segmentation. We propose to transfer activation features of generic deep convolutional networks to extr...

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Literature Corpus work: 70ad5b4a-9761-5664-95f0-d33b575c752e
DOI: 10.1101/085118

Open publication

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