A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number.

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Title: A Deep Learning Onion Peeling Approach to Measure Oral Epithelium Layer Number.
Authors: Zhang X; Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Gleber-Netto FO; Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Wang S; Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Jin KW; Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Yang DM; Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA., Gillenwater AM; Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Myers JN; Department of Head & Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Ferrarotto R; Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA., Pickering CR; Department of Surgery, Yale School of Medicine, New Haven, CT 06510, USA., Xiao G; Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.; Department of Bioinformatics, The University of Texas Southwestern Medical Center, Dallas, TX 76104, USA.; Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX 76104, USA.
Source: Cancers [Cancers (Basel)] 2023 Jul 31; Vol. 15 (15). Date of Electronic Publication: 2023 Jul 31.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2072-6694
DOI:10.3390/cancers15153891