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arXiv · 1905.13105

ImJoy: an open-source computational platform for the deep learning era

Wei Ouyang·Florian Mueller·Martin Hjelmare·Emma Lundberg·Christophe Zimmer
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Abstract

Deep learning methods have shown extraordinary potential for analyzing very diverse biomedical data, but their dissemination beyond developers is hindered by important computational hurdles. We introduce ImJoy (https://imjoy.io/), a flexible and open-source browser-based platform designed to facilitate widespread reuse of deep learning solutions in biomedical research. We highlight ImJoy's main features and illustrate its functionalities with deep learning plugins for mobile and interactive image analysis and genomics.

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Wei Ouyang, Florian Mueller, Martin Hjelmare, Emma Lundberg, Christophe Zimmer. 2019-05-30. ImJoy: an open-source computational platform for the deep learning era. https://arxiv.org/abs/1905.13105

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