Work

CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation

Year: 2018

Type: article

Source: Nature Methods

DOI: 10.1038/s41592-018-0106-z

Authors: Matthias G. Haberl, Christopher Churas, Lucas Tindall, Daniela Boassa, Sébastien Phan, Eric A. Bushong, Matthew Madany, Raffi Akay, Thomas J. Deerinck, Steven T. Peltier, Mark H. Ellisman

Institution: University of California San Diego

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Institutes of Health, University of California, San Diego, National Institute of General Medical Sciences

Awards: G140848689, G145338696, NATIONAL BIOMEDICAL COMPUTATION RESOURCE, G3337127418, G9000230640

OpenAlex ID: W2888612993

FWCI: 10

Cites: 20

Cited by: 180

Related to: 10