Ulcer severity grading in video capsule images of patients with Crohn's disease: an ordinal neural network solution.
Capsule endoscopy (CE) is an important modality for diagnosis and follow-up of Crohn's disease (CD). The severity of ulcers at endoscopy is significant for predicting the course of CD. Deep learning has been proven accurate in detecting ulcers on CE. However, endoscopic classification of ulcers by d...
| Publicado en: | Gastrointestinal Endoscopy Vol. 93; no. 1; pp. 187 - 193 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Jan2021
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| Acceso en línea: | Ver este registro en EBSCOhost |