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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...

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Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: SpringerOpen 2023-02-01
Seri Bilgileri:Insights into Imaging
Konular:
Diagnosis
Computer-assisted
Machine learning
Ovarian neoplasms
Online Erişim:https://doi.org/10.1186/s13244-022-01345-x
Etiketler: Etiketle
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