The cross-validation diagram of Lasso regression of enhanced CT combined with MRI images.

<p>Binomial bias and log (lambda) rendering in LASSO model screening of radiomics features of enhanced CT and Gd-EOB-DTPA MRI in training group The y-axis represents the binomial deviation and the x-axis represents the average number of predictors on log (lambda) Draw a solid line at the value...

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Main Author:	Jiangfa Li (18345033) (author)
Other Authors:	Wenxiang Song (9945005) (author), Jixue Li (1846999) (author), Lv Cai (20629931) (author), Zhao Jiang (670308) (author), Mengxiao Wei (20629934) (author), Boming Nong (20629937) (author), Meiyu Lai (20629940) (author), Yiyi Jiang (499881) (author), Erbo Zhao (386224) (author), Liping Lei (161053) (author)
Published:	2025
Subjects:	Medicine Cell Biology Neuroscience Biotechnology Cancer Space Science underwent partial hepatectomy enhanced computed tomography 990 ), sensitivity 843 &# 8211 642 &# 8211 000 ), sensitivity magnetic resonance imaging lasso regression analysis good diagnostic performance clinical study exploring combined enhanced ct optimal radiomics features patients using python decision curve analysis comprehensive predictive model 2 %, specificity 93 hcc patients radiomics features radiomics analysis predictive performance 2 %, 93 patients retrospective analysis imaging data evaluated using predictive model clinical variables clinical variable 2 %. xlink "> validation groups validation group significantly different randomly divided negative groups multivariate analyses microvascular invasion joint model integrating data including ct histopathological diagnosis hepatocellular carcinoma gold standard finally determined 3 ratio
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The cross-validation diagram of Lasso regression of enhanced CT combined with MRI images.

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