Cells/nuclei deliver massive information of microenvironment. An automatic nuclei segmentation approach can reduce pathologists' workload and allow precise of the microenvironment for biological and clinical researches. Existing deep learning models ...
Continuous monitoring of high-risk patients and early prediction of severe outcomes is crucial to prevent avoidable deaths. Current clinical monitoring is primarily based on intermittent observation of vital signs and the early warning scores (EWS). ...
International journal of obesity (2005)
May 18, 2022
BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in the context of the growing role of computer-based work. Negative stereotypes about people with obesity still hold even when they are irrelevant in tasks...
World health organization (WHO) reports around 2.2 billion people in the world as visually challenged which is mostly due to the age-related eye diseases such as age-related macular degeneration (AMD), cataract, diabetic retinopathy (DR) and glaucoma...
PURPOSE: Our goal was to evaluate the feasibility, safety and effectiveness of the KangDuo Surgical Robot-01 (KD-SR-01) system for robot-assisted radical prostatectomy (RARP).
PURPOSE: A fully automated system for interpreting abdominal computed tomography (CT) scans with multiple phases of contrast enhancement requires an accurate classification of the phases. Current approaches to classify the CT phases are commonly base...
OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determine and optimize most important factors for overweight and obesity in Chinese preschool-aged children.
BACKGROUND: Despite the high success rate associated with Heller myotomy in the treatment of primary achalasia, symptom persistence or relapse occurs in approximately 10-20% of patients. Unfortunately, the ideal treatment after failed myotomy is not ...
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