Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging

BACKGROUND: Microvascular invasion (MVI) has a significant effect on the prognosis of hepatocellular carcinoma (HCC), but its preoperative identification is challenging. Radiomics features extracted from medical images, such as magnetic resonance (MR) images, can be used to predict MVI. In this stud...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Quant Imaging Med Surg
Κύριοι συγγραφείς: Dai, Houjiao, Lu, Minhua, Huang, Bingsheng, Tang, Mimi, Pang, Tiantian, Liao, Bing, Cai, Huasong, Huang, Mengqi, Zhou, Yongjin, Chen, Xin, Ding, Huijun, Feng, Shi-Ting
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: AME Publishing Company 2021
Θέματα:
Original Article
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8047362/
https://ncbi.nlm.nih.gov/pubmed/33936969
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-218
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