Radiomics in liver diseases: Current progress and future opportunities

Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have become an increasingly significant health problem worldwide. Noninvasive imaging plays a critical role in the clinical workflow of liver diseases, but conventional imaging assessment may provide limited information. A...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Liver international 2020-09, Vol.40 (9), p.2050-2063
Hauptverfasser:	Wei, Jingwei, Jiang, Hanyu, Gu, Dongsheng, Niu, Meng, Fu, Fangfang, Han, Yuqi, Song, Bin, Tian, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biomarkers Data acquisition Data science Decision making Diagnosis Feature extraction Heterogeneity Image processing Image segmentation Learning algorithms Liver Liver diseases Machine learning Medical imaging precision medicine radiologic technology Radiomics Review Reviews Target recognition Tumors Workflow
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!