Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomography.
Background & Aims: Enhanced computed tomography (CT) is the primary method for focal liver lesion diagnosis. We aimed to use automated machine learning (AutoML) algorithms to differentiate between benign and malignant focal liver lesions on the basis of radiomics from unenhanced CT images. Methods:...
| Publicado en: | Abdominal Radiology Vol. 50; no. 5; pp. 2126 - 2140 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |