{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T11:13:36Z","timestamp":1788779616664,"version":"build-2803163510"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,12,22]],"date-time":"2021-12-22T00:00:00Z","timestamp":1640131200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"China Public Health Alliance Project","award":["GWLM202016"],"award-info":[{"award-number":["GWLM202016"]}]},{"name":"China Public Health Alliance Project","award":["LGY2020059"],"award-info":[{"award-number":["LGY2020059"]}]},{"name":"High-Level Health Talents in Jiangsu Province in 2020","award":["GWLM202016"],"award-info":[{"award-number":["GWLM202016"]}]},{"name":"High-Level Health Talents in Jiangsu Province in 2020","award":["LGY2020059"],"award-info":[{"award-number":["LGY2020059"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Contrast Media &amp; Molecular Imaging"],"published-print":{"date-parts":[[2021,12,22]]},"abstract":"<jats:p>Liver fibrosis in chronic hepatitis B is the pathological repair response of the liver to chronic injury, which is a key step in the development of various chronic liver diseases to cirrhosis and an important link affecting the prognosis of chronic liver diseases. The further development of liver fibrosis in chronic hepatitis B can lead to the disorder of hepatic lobule structure, nodular regeneration of hepatocytes, formation of a pseudolobular structure, namely, cirrhosis, clinical manifestations of liver dysfunction, and portal hypertension. So far, the diagnosis of liver fibrosis in chronic hepatitis B has been made manually by doctors. However, this is very subjective and boring for doctors. Doctors are likely to be interfered with by external factors, such as fatigue and lack of sleep. This paper proposed a 5-layer deep convolution neural network structure for the automatic classification of liver fibrosis in chronic hepatitis B. In the 5-layer deep convolution neural network structure, there were three convolution layers and two fully connected layers, and each convolution layer was connected with a pooling layer. 123 ADC images were collected, and the following results were obtained: the accuracy, sensitivity, specificity, precision, F1, MCC, and FMI were 88.13%\u2009\u00b1\u20091.47%, 81.45%\u2009\u00b1\u20093.69%, 91.12%\u2009\u00b1\u20091.72%, 80.49%\u2009\u00b1\u20092.94%, 80.90%\u2009\u00b1\u20092.39%, 72.36%\u2009\u00b1\u20093.39%, and 80.94%\u2009\u00b1\u20092.37%, respectively.<\/jats:p>","DOI":"10.1155\/2021\/2015780","type":"journal-article","created":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T04:20:08Z","timestamp":1640233208000},"page":"1-9","source":"Crossref","is-referenced-by-count":14,"title":["Deep Learning in the Classification of Stage of Liver Fibrosis in Chronic Hepatitis B with Magnetic Resonance ADC Images"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8792-9354","authenticated-orcid":true,"given":"Ziquan","family":"Zhu","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2287-5655","authenticated-orcid":true,"given":"Daoyan","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Huai\u2019an First Hospital, Huai\u2019an, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9769-2856","authenticated-orcid":true,"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, The Fourth People\u2019s Hospital of Huai\u2019an, Huai\u2019an, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4713-2791","authenticated-orcid":true,"given":"Shui-Hua","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Architecture Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guijuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, The Fourth People\u2019s Hospital of Huai\u2019an, Huai\u2019an, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1172\/jci24282"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.20517\/2394-5079.2017.27"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3748\/wjg.v21.i41.11567"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2036.2006.02929.x"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.37175\/stemedicine.v2i7.93"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/cbms49503.2020.00115"},{"issue":"6","key":"7","article-title":"Penalized PET reconstruction using CNN prior","volume":"37","author":"K. 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