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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Publicado en:Quant Imaging Med Surg
Autores principales: 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
Lenguaje:Inglês
Publicado: AME Publishing Company 2021
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Original Article
Acceso en línea: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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