Deep learning with a convolutional neural network model to differentiate renal parenchymal tumors: a preliminary study.
Purpose: With advancements in medical imaging, more renal tumors are detected early, but it remains a challenge for radiologists to accurately distinguish subtypes of renal parenchymal tumors. We aimed to establish a novel deep convolutional neural network (CNN) model and investigate its effect on i...
| Publicado en: | Abdominal Radiology Vol. 46; no. 7; pp. 3260 - 3269 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jul2021
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| Acceso en línea: | Ver este registro en EBSCOhost |