Detection of Hepatocellular Carcinoma in Contrast-Enhanced Magnetic Resonance Imaging Using Deep Learning Classifier: A Multi-Center Retrospective Study.

Scientific Reports
Junmo KimMin Woo Lee

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and a leading cause of cancer-related death worldwide. We propose a fully automated deep learning model to detect HCC using hepatobiliary phase magnetic resonance images from 549 patients who underwent surgical resection. Our model used a fine-tuned convolutional neural network and achieved 87% sensitivity and 93% specificity for the detection of HCCs with an external validation data set (54 patients). We also confirmed whether the lesion detected by our deep learning model is a true lesion using a class activation map.

References

Mar 22, 2002·The Lancet Oncology·D M Parkin
Jun 16, 2007·Gastroenterology·Hashem B El-Serag, K Lenhard Rudolph
May 1, 2009·Journal of Gastroenterology·Masato NaritaShinji Uemoto
May 29, 2015·Nature·Yann LeCunGeoffrey Hinton
Feb 11, 2016·IEEE Transactions on Medical Imaging· Zhennan Yan Xiang Sean Zhou
Apr 7, 2018·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Jorge A MarreroJulie K Heimbach
Apr 10, 2018·Journal of Hepatology·UNKNOWN European Association for the Study of the Liver. Electronic address: easloffice@easloffice.eu, UNKNOWN European Association for the Study of the Liver

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Citations

Jul 17, 2021·Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·Clara BalsanoUNKNOWN Special Interest Group (SIG) Artificial Intelligence and Liver Diseases; Italian Association for the Study of the Liver (AIS

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Methods Mentioned

BETA
surgical resection

Software Mentioned

Inception
AdaGrad
SIEMENS Verio EXCITE HDxt
TensorFlow

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