Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Patient Cohort
2.2. Pathologic Diagnosis
2.3. Deep Learning Model
2.4. Statistics
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Jang, H.-J.; Song, I.-H.; Lee, S.-H. Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images. Cancers 2021, 13, 3811. https://doi.org/10.3390/cancers13153811
Jang H-J, Song I-H, Lee S-H. Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images. Cancers. 2021; 13(15):3811. https://doi.org/10.3390/cancers13153811
Chicago/Turabian StyleJang, Hyun-Jong, In-Hye Song, and Sung-Hak Lee. 2021. "Deep Learning for Automatic Subclassification of Gastric Carcinoma Using Whole-Slide Histopathology Images" Cancers 13, no. 15: 3811. https://doi.org/10.3390/cancers13153811