Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning.

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Title: Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning.
Authors: Yang SY; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Li SH; National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, Sichuan, China., Liu JL; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Sun XQ; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Cen YY; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Ren RY; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Ying SC; College of Computer Science, Sichuan University, Chengdu, Sichuan, China., Chen Y; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Zhao ZH; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China., Liao W; State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China.
Source: Journal of dental research [J Dent Res] 2022 Oct; Vol. 101 (11), pp. 1321-1327. Date of Electronic Publication: 2022 Apr 21.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 0354343 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1544-0591 (Electronic) Linking ISSN: 00220345 NLM ISO Abbreviation: J Dent Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1544-0591
DOI:10.1177/00220345221089858