Application of Big Data Deep Learning in Auxiliary Diagnosis of Lower Extremity Arteriosclerosis Obliterans

Autor:	Zhijie Liao, Yi Zhang, Hongjun Wang, Yang Liu, Linbo Liu, Shendong Du
Rok vydání:	2021
Předmět:	medicine.medical_specialty Arteriosclerosis obliterans Physical medicine and rehabilitation business.industry Deep learning Big data Medicine Treatment effect Artificial intelligence business medicine.disease Imaging data Lower limb
Zdroj:	Journal of Clinical and Nursing Research. 5:108-112
ISSN:	2208-3693 2208-3685
Popis:	At present, the incidence rate of arteriosclerosis obliterans (LEASO) of the lower extremities is significantly increased by aging and lifestyle changes. It is of great importance to predict the LEASO effectively and accurately by analyzing the imaging data of the lower extremities [1]. At this stage, China has entered the era of big data and artificial intelligence. Medical institutions at all levels can produce a large number of lower limb vascular image data every day. Using big data deep learning technology to intelligently analyze a large number of image data, and then carry out auxiliary diagnosis, so as to improve the diagnosis and treatment effect of LEASO is the focus of clinical research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c64532299a5841f72537ae3eec7662ab https://doi.org/10.26689/jcnr.v5i5.2573 Zobrazit plný text záznamu