Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM) is a research paper published in APL Photonics (2020). On theSindex it has a DataRank of 0. It has been cited 53 times.
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National Science Foundation
Grant: 0939511
NSF Science and Technology Center: Emergent Behaviors of Integrated Cellular Systems
National Institutes of Health
Grant: R01 GM129709
National Institutes of Health
Grant: R01 CA238191
National Institutes of Health
Grant: R43GM133280-01
NIGMS NIH HHS
Grant: R43 GM133280
National Institutes of Health
Grant: 3R01GM129709-01A1S1
Airyscan-based Confocal Phase Tomography for high-resolution 3D imaging of cell growth- Administrative supplement
National Institutes of Health
Grant: 1R43GM133280-01
Label-free classification of cell cycle
National Institutes of Health
Grant: 3R01CA238191-02S1
Quantitative histopathology for cancer prognosis using quantitative phase imaging on stained tissues
FWCI
5.80
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals