The overview of the deep learning integrated into the medical imaging of liver: a review-Reference-Cited by-同舟云学术

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The overview of the deep learning integrated into the medical imaging of liver: a review

Published:2021-07-15 Issue:4 Volume:15 Page:868-880
ISSN:1936-0533
Container-title:Hepatology International
language:en
Short-container-title:Hepatol Int

Author:

Xiang Kailai^ORCID,Jiang Baihui,Shang Dong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

The Leading Talent of Hundred, Thousand and Ten Thousand Project of Xingliao Gifted Person Program of Liaoning Province

Publisher

Springer Science and Business Media LLC

Subject

Hepatology

Link

https://link.springer.com/content/pdf/10.1007/s12072-021-10229-z.pdf

Reference83 articles.

1. Trefts E, Gannon M, Wasserman DH. The liver. Curr Biol 2017;27(21):R1147–R1151

2. Di Tommaso L, et al. Role of liver biopsy in hepatocellular carcinoma. World J Gastroenterol 2019;25(40):6041–6052

3. Ayuso C, et al. Diagnosis and staging of hepatocellular carcinoma (HCC): current guidelines. Eur J Radiol 2018;101:72–81

4. Sertorio F, et al. Ultrasonography as first line imaging for the diagnosis of positional plagiocephaly: our experience and literature review. Minerva Pediatr 2019. https://doi.org/10.23736/S0026-4946.19.05424-0

5. Nishida N, et al. Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology. Hepatol Int 2019;13(4):416–421

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