Performance of automatic machine learning versus radiologists in the evaluation of endometrium on computed tomography.
Purpose: In this study, we developed radiomic models that utilize a combination of imaging features and clinical variables to distinguish endometrial cancer (EC) from normal endometrium on routine computed tomography (CT). Methods: A total of 926 patients consisting of 416 endometrial cancer (EC) an...
| Publicado en: | Abdominal Radiology Vol. 46; no. 11; pp. 5316 - 5325 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2021
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| Acceso en línea: | Ver este registro en EBSCOhost |