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Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review

Key points Computer-aided diagnostics has potential to predict the nature of ovarian tumors. Literature shows heterogeneous sensitivity and specificity of machine learning on ultrasound images, CT-scan images and MRI-scan images. More prospective studies on other computer-aided techniques and imagin...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Anna H. Koch, Lara S. Jeelof, Caroline L. P. Muntinga, T. A. Gootzen, Nienke M. A. van de Kruis, Joost Nederend, Tim Boers, Fons van der Sommen, Jurgen M. J. Piek
Format: Artigo
Sprache:Inglês
Veröffentlicht: SpringerOpen 2023-02-01
Schriftenreihe:Insights into Imaging
Schlagworte:
Diagnosis
Computer-assisted
Machine learning
Ovarian neoplasms
Online-Zugang:https://doi.org/10.1186/s13244-022-01345-x
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