CDeep3M-Plug-and-Play cloud-based deep learning for image segmentation.
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ABSTRACT: As biomedical imaging datasets expand, deep neural networks are considered vital for image processing, yet community access is still limited by setting up complex computational environments and availability of high-performance computing resources. We address these bottlenecks with CDeep3M, a ready-to-use image segmentation solution employing a cloud-based deep convolutional neural network. We benchmark CDeep3M on large and complex two-dimensional and three-dimensional imaging datasets from light, X-ray, and electron microscopy.
SUBMITTER: Haberl MG
PROVIDER: S-EPMC6548193 | biostudies-literature | 2018 Sep
REPOSITORIES: biostudies-literature
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