Luoyan Wang
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View article: The relationship between career adaptability, decent work, job satisfaction and burnout among psychiatrists: a cross-sectional study
The relationship between career adaptability, decent work, job satisfaction and burnout among psychiatrists: a cross-sectional study Open
This study emphasizes the importance of career adaptability among psychiatrists and the mediating role of decent work and job satisfaction. Therefore, psychiatric hospital management should implement strategies to enhance physicians' caree…
View article: Relationship between burnout and turnover intention among nurses: a network analysis
Relationship between burnout and turnover intention among nurses: a network analysis Open
The study underscores the importance of addressing nurse burnout by focusing on core elements like personal accomplishment and self-efficacy to reduce turnover intentions. These insights facilitate targeted interventions that could improve…
View article: Factors influencing decent work among psychiatric nurses in China: a cross-sectional study
Factors influencing decent work among psychiatric nurses in China: a cross-sectional study Open
The findings suggest that years of work experience, social support, and the effort-reward imbalance are factors influencing decent work among psychiatric nurses. By offering career development opportunities, fostering supportive work envir…
View article: Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation Open
[This corrects the article DOI: 10.3389/fnins.2022.872601.].
View article: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation Open
Medical image segmentation is an essential component of computer-aided diagnosis (CAD) systems. Thyroid nodule segmentation using ultrasound images is a necessary step for the early diagnosis of thyroid diseases. An encoder-decoder based d…
View article: A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification
A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification Open
Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this paper, we propose a novel deep convolutional neural network (CNN) model, called n-Cls…