Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Shiju Yan"'
Publikováno v:
Journal of Diabetes, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract Background With the increasing incidence of diabetes worldwide, patients diagnosed with diabetes has been getting younger. Previous studies have shown that high remnant cholesterol (RC) level leads to an increased risk of cardiovascular dise
Externí odkaz:
https://doaj.org/article/a6a29052aff0459aa400e446caa68c96
Publikováno v:
BMC Endocrine Disorders, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background The prevalence of diabetes mellitus (DM) is dramatically increasing around the world, and patients are getting younger with changes in living standards and lifestyle. This study summarized and analyzed the clinical characteristics
Externí odkaz:
https://doaj.org/article/1aec6a906d0a47b8bcada24c8428615d
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 18, Iss 1, Pp 1-10 (2023)
Abstract Background Osteoarthritis (OA) is the most common degenerative disease in joints among elderly patients. Senescence is deeply involved in the pathogenesis of osteoarthritis. Metformin is widely used as the first-line drug for Type 2 diabetes
Externí odkaz:
https://doaj.org/article/df4deb71502d4279875a15aba14c8725
Publikováno v:
Metals, Vol 13, Iss 7, p 1283 (2023)
Crystallization often occurs in the laser welding of amorphous alloys, reducing the properties of amorphous alloys. Therefore, the research in this thesis focuses on the experimental selection of suitable welding parameters to prevent crystallization
Externí odkaz:
https://doaj.org/article/7975ec3e0b454335b99eb7fd5c29dad9
Publikováno v:
Academic Radiology. 29:S199-S210
Rationale and Objectives The purpose of this study is to improve accuracy of near-term breast cancer risk prediction by applying a new mammographic image conversion method combined with a two-stage artificial neural network (ANN)-based classification
Publikováno v:
Journal of Medical and Biological Engineering. 41:350-359
A novel endoscopic multi-firing clip applicator (EMFCA) system was developed for closing large perforations, in which the clips was deployed by pushing through a tendon-sheath actuation system (TSAS). However, the closure performance is heavily depen
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:883-894
Knowing the early lesion detection of fundus images is very important to prevent blindness, and accurate lesion segmentation can provide doctors with diagnostic evidence. This study proposes a method based on improved Hessian matrix eigenvalue analys
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 15:445-455
Knowing the course of Alzheimer’s disease is very important to prevent the deterioration of the disease, and accurate segmentation of sensitive lesions can provide a visual basis for the diagnosis results. This study proposes an improved end-to-end
Publikováno v:
International journal of computer assisted radiology and surgery.
To address the difficulties of M-mode ultrasound images classification in pneumothorax diagnosis and the shortcomings of existing neural network algorithms in this field, we proposed an M-mode ultrasound images classification model based on Disturbed