Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

Analysis of variable correlations regarding MVI in tumors with diameters < 3 cm should prioritize tumor sphericity. The ANN model demonstrated strong predictive MVI for patients with HCC (AUC = 0.79).

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Publication Details

Journal
World Journal of Gastrointestinal Surgery
Published
2024-08-16
DOI
https://doi.org/10.4240/wjgs.v16.i8.2546
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

Fanhua Meng, Zhongyue Huang, Xinye Qian, Jingyi Xu et al.
World Journal of Gastrointestinal Surgery
Radiomics and Machine Learning in Medical Imaging
article

Preoperative prediction of hepatocellular carcinoma microvascular invasion based on magnetic resonance imaging feature extraction artificial neural network

Fanhua Meng, Zhongyue Huang, Xinye Qian, Jingyi Xu, Yufan Yang
article en

Abstract

Analysis of variable correlations regarding MVI in tumors with diameters < 3 cm should prioritize tumor sphericity. The ANN model demonstrated strong predictive MVI for patients with HCC (AUC = 0.79).

World Journal of Gastrointestinal SurgeryVol. 16(8)
Fudan University (CN), Beijing Tsinghua Chang Gung Hospital (CN), Huashan Hospital (CN), Tsinghua University (CN)
Good health and well-being
Openalex Percentile: Top 78%
Radiomics and Machine Learning in Medical Imaging
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