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GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images

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Year: 2021
Type: article
Source: Laboratory Investigation
DOI: 10.1038/s41374-021-00579-5
Authors: Pooya Mobadersany, Lee A.D. Cooper, Jeffery A. Goldstein
Institutions: Northwestern University, Emory University
Language: English

Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: U.S. Department of Health and Human Services, Northwestern University, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Advancing Translational Sciences
Awards: G1084585391, G1284175734, G1382277591, G1455064974, G1634474930, G2098571635, G2307994159, G236724803, Developing a virtual placenta biobank, G4001230836, G4372147948, Northwestern University Clinical and Translational Science Institute (NUCATS), G629943218, G6420530163, G8384806044, Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling, G9000046704, G9000220391, G9000243582, The Robert H. Lurie Comprehensive Cancer Center
OpenAlex ID: W3133796368
FWCI: 2.383
Cites: 54
Cited by: 38
Related to: 10
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