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Human Body

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Development and validation of an ensemble artificial intelligence model for comprehensive imaging quality check to classify body parts and contrast enhancement.

BMC medical imaging
BACKGROUND: Despite the dramatic increase in the use of medical imaging in various therapeutic fields of clinical trials, the first step of image quality check (image QC), which aims to check whether images are uploaded appropriately according to the...

Recognition of Human Body Feature Changes in Sports Health Based on Deep Learning.

Computational and mathematical methods in medicine
With the rapid development of social economy and the extensive and in-depth development of national fitness activities, national physical fitness monitoring and research work has achieved rapid development. In recent years, the application of deep le...

Linear Regression vs. Deep Learning: A Simple Yet Effective Baseline for Human Body Measurement.

Sensors (Basel, Switzerland)
We propose a linear regression model for the estimation of human body measurements. The input to the model only consists of the information that a person can self-estimate, such as height and weight. We evaluate our model against the state-of-the-art...

Deep learning-based body part recognition algorithm for three-dimensional medical images.

Medical physics
BACKGROUND: The automatic recognition of human body parts in three-dimensional medical images is important in many clinical applications. However, methods presented in prior studies have mainly classified each two-dimensional (2D) slice independently...

3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition.

Sensors (Basel, Switzerland)
Group activity recognition is a prime research topic in video understanding and has many practical applications, such as crowd behavior monitoring, video surveillance, etc. To understand the multi-person/group action, the model should not only identi...

Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization.

Journal of digital imaging
Preparing radiology examinations for interpretation requires prefetching relevant prior examinations and implementing hanging protocols to optimally display the examination along with comparisons. Body part is a critical piece of information to facil...

Study on 3D Clothing Color Application Based on Deep Learning-Enabled Macro-Micro Adversarial Network and Human Body Modeling.

Computational intelligence and neuroscience
In real life, people's life gradually tends to be simple, so the convenience of online shopping makes more and more research begin to explore the convenience optimization of shopping, in which the fitting system is the research product. However, due ...

Untangling the Animacy Organization of Occipitotemporal Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience
Some of the most impressive functional specializations in the human brain are found in the occipitotemporal cortex (OTC), where several areas exhibit selectivity for a small number of visual categories, such as faces and bodies, and spatially cluster...

Deep learning for whole-body medical image generation.

European journal of nuclear medicine and molecular imaging
BACKGROUND: Artificial intelligence (AI) algorithms based on deep convolutional networks have demonstrated remarkable success for image transformation tasks. State-of-the-art results have been achieved by generative adversarial networks (GANs) and tr...

Human Body Parts Proximity Measurement Using Distributed Tactile Robotic Skin.

Sensors (Basel, Switzerland)
Safety in human-machine cooperation is the current challenge in robotics. Safe human-robot interaction requires the development of sensors that detect human presence in the robot's workspace. Detection of this presence should occur before the physica...