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Article
Open AccessClinical characteristics of patients with early-onset diabetes mellitus: a single-center retrospective study
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 cli...
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Article
Open AccessMetformin regulates chondrocyte senescence and proliferation through microRNA-34a/SIRT1 pathway in osteoarthritis
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 dru...
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Article
Automatic diagnosis of pneumothorax with M-mode ultrasound images based on D-MPL
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 image...
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Article
Detection of microaneurysms and hemorrhages based on improved Hessian matrix
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 ...
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Article
Precise Control and Experimental Evaluation of a Novel Endoscopic Suturing Device for Large Perforations
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,...
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Article
Dual-functional neural network for bilateral hippocampi segmentation and diagnosis of Alzheimer’s disease
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. Thi...
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Article
A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms
Accurately detecting and removing pectoral muscle areas depicting on mediolateral oblique (MLO) view mammograms are an important step to develop a computer-aided detection scheme to assess global mammographic ...
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Article
Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction
How to optimally detect bilateral mammographic asymmetry and improve risk prediction accuracy remains a difficult and unsolved issue. Our aim was to find an effective mammographic density segmentation method t...