AIMC Topic: Humans

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Attention-Based Dynamic Subspace Learners for Medical Image Analysis.

IEEE journal of biomedical and health informatics
Learning similarity is a key aspect in medical image analysis, particularly in recommendation systems or in uncovering the interpretation of anatomical data in images. Most existing methods learn such similarities in the embedding space over image se...

Towards Exercise Radiomics: Deep Neural Network-Based Automatic Analysis of Thermal Images Captured During Exercise.

IEEE journal of biomedical and health informatics
Infrared thermography is increasingly applied in sports science due to promising observations regarding changes in skin's surface radiation temperature ( T) before, during, and after exercise. The common manual thermogram analysis limits an objective...

SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging.

IEEE journal of biomedical and health informatics
Federated learning is an emerging research paradigm for enabling collaboratively training deep learning models without sharing patient data. However, the data from different institutions are usually heterogeneous across institutions, which may reduce...

Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns.

IEEE journal of biomedical and health informatics
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which increases at the end of work shifts. In this study, we run an experiment to investigate if artificial intelligence (AI) can assist in detecting radiolo...

DeepMTS: Deep Multi-Task Learning for Survival Prediction in Patients With Advanced Nasopharyngeal Carcinoma Using Pretreatment PET/CT.

IEEE journal of biomedical and health informatics
Nasopharyngeal Carcinoma (NPC) is a malignant epithelial cancer arising from the nasopharynx. Survival prediction is a major concern for NPC patients, as it provides early prognostic information to plan treatments. Recently, deep survival models base...

sEMG-Based Gesture Recognition Using Deep Learning From Noisy Labels.

IEEE journal of biomedical and health informatics
Gesture recognition for myoelectric prosthesis control utilizing sparse multichannel surface Electromyography (sEMG) is a challenging task, and from a Muscle-Computer Interface (MCI) standpoint, the performance is still far from optimal. However, the...

Exploring the Application of BIM Technology in the Whole Process of Construction Cost Management with Computational Intelligence.

Computational intelligence and neuroscience
The construction industry is a labor-intensive industry in China. In recent years, as people's living standards have risen, so have their requirements for the functionality, appearance, and comfort of buildings. The amount of information attached to ...

Lite-3DCNN Combined with Attention Mechanism for Complex Human Movement Recognition.

Computational intelligence and neuroscience
Three-dimensional convolutional network (3DCNN) is an essential field of motion recognition research. The research work of this paper optimizes the traditional three-dimensional convolution network, introduces the self-attention mechanism, and propos...

Thinking and Research on Ideology Education of University Student Based on Deep Learning in Small Sample Environment.

Journal of environmental and public health
Building an evaluation system for new media ideology education in colleges and other higher education institutions is helpful for assessing the current ideology education and encouraging high levels of information technology integration in ideology e...

The Influence of Public Mental Health Based on Artificial Intelligence Technology on the Teaching Effect of Business Administration Major.

Journal of environmental and public health
As an emerging technology, public mental health based on artificial intelligence engineering has broad application and development prospects in improving teaching effects, realizing high efficiency and intelligence, and improving refined education. T...