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Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology.

Abstract：

:An ultrasound (US) examination is a common noninvasive technique widely applied for diagnosis of a variety of diseases. Based on the rapid development of US equipment, many US images have been accumulated and are now available and ready for the preparation of a database for the development of computer-aided US diagnosis with deep learning technology. On the contrary, because of the unique characteristics of the US image, there could be some issues that need to be resolved for the establishment of computer-aided diagnosis (CAD) system in this field. For example, compared to the other modalities, the quality of a US image is, currently, highly operator dependent; the conditions of examination should also directly affect the quality of US images. So far, these factors have hampered the application of deep learning-based technology in the field of US diagnosis. However, the development of CAD and US technologies will contribute to an increase in diagnostic quality, facilitate the development of remote medicine, and reduce the costs in the national health care through the early diagnosis of diseases. From this point of view, it may have a large enough potential to induce a paradigm shift in the field of US imaging and diagnosis of liver diseases.

journal_name

Hepatol Int

journal_title

Hepatology international

authors

Nishida N,Yamakawa M,Shiina T,Kudo M

doi

10.1007/s12072-019-09937-4

subject

Has Abstract

pub_date

2019-07-01 00:00:00

pages

416-421

issue

4

eissn

1936-0533

issn

1936-0541

pii

10.1007/s12072-019-09937-4

journal_volume

13

pub_type

杂志文章,评审

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