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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Detalhes bibliográficos
Publicado no:Quant Imaging Med Surg
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2021
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Original Article
Acesso em linha: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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