Differentiation and risk stratification for gastrointestinal stromal tumors with endoscopic images using deep learning.
Purpose: Deep learning may be helpful to differentiate gastrointestinal stromal tumors and risk stratification using endoscopic images. Methods: A total of 494 patients with gastrointestinal stromal tumors and 1010 patients with gastric cancer from author's hospital were trained and validated. Anoth...
| Publicado en: | Health & Technology Vol. 16; no. 5; pp. 845 - 856 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2026
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| Acceso en línea: | Ver este registro en EBSCOhost |