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...

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Dettagli Bibliografici
Pubblicato in:Quant Imaging Med Surg
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: AME Publishing Company 2021
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Original Article
Accesso 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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