Leveraging mid-infrared spectroscopic imaging and deep learning for tissue subtype classification in ovarian cancer is a research paper published in The Analyst (2023). On theSindex it has a DataRank of 0. It has been cited 26 times.
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Cancer Prevention and Research Institute of Texas
Grant: RR170075
National Science Foundation
Grant: 1943455
CAREER: The Morpho-Molecular Tissue Atlas: A Framework for the Generation and Comparative Profiling of Terabyte-Scale Tissue Phenotypes
U.S. National Library of Medicine
Grant: 3T15LM007093-27S1
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
U.S. National Library of Medicine
Grant: T15LM007093
National Institutes of Health
Grant: P30CA016672
National Institutes of Health
Grant: P50CA217685
National Institutes of Health
Grant: R01HL146745
National Institutes of Health
Grant: 1R01HL146745-01
Structural and Molecular Phenotyping of Embryonic Development through Multi-Modal Optical Imaging
National Institutes of Health
Grant: 3P30CA016672-41S4
Cancer Center Support (CORE) Grant
National Institutes of Health
Grant: 1P50CA217685-01
U.T. M. D. Anderson Cancer Center SPORE in Ovarian Cancer
Frank McGraw Memorial Chair in Cancer Research
American Cancer Society
FWCI
6.69
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals