AIMC Topic: Humans

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Boundary-aware context neural network for medical image segmentation.

Medical image analysis
Medical image segmentation can provide a reliable basis for further clinical analysis and disease diagnosis. With the development of convolutional neural networks (CNNs), medical image segmentation performance has advanced significantly. However, mos...

The potential of artificial intelligence-based applications in kidney pathology.

Current opinion in nephrology and hypertension
PURPOSE OF REVIEW: The field of pathology is currently undergoing a significant transformation from traditional glass slides to a digital format dependent on whole slide imaging. Transitioning from glass to digital has opened the field to development...

With or without human interference for precise age estimation based on machine learning?

International journal of legal medicine
Age estimation can aid in forensic medicine applications, diagnosis, and treatment planning for orthodontics and pediatrics. Existing dental age estimation methods rely heavily on specialized knowledge and are highly subjective, wasting time, and ene...

Automatic detection and classification of peri-prosthetic femur fracture.

International journal of computer assisted radiology and surgery
PURPOSE: Object classification and localization is a key task of computer-aided diagnosis (CAD) tool. Although there have been numerous generic deep learning (DL) models developed for CAD, there is no work in the literature to evaluate their effectiv...

Deep learning model using retinal vascular images for classifying schizophrenia.

Schizophrenia research
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the patient during a clinical interview by a psychiatrist. Given the significant variability in personal reporting and differences in the skill set of psychiatrists, ...

High-Frequency Ultrasound Dataset for Deep Learning-Based Image Quality Assessment.

Sensors (Basel, Switzerland)
This study aims at high-frequency ultrasound image quality assessment for computer-aided diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new opportunities in dermatology, utilizing the most recent deep learning-based...

Marine Robotics for Deep-Sea Specimen Collection: A Taxonomy of Underwater Manipulative Actions.

Sensors (Basel, Switzerland)
In order to develop a gripping system or control strategy that improves scientific sampling procedures, knowledge of the process and the consequent definition of requirements is fundamental. Nevertheless, factors influencing sampling procedures have ...

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances.

Sensors (Basel, Switzerland)
Mobile and wearable devices have enabled numerous applications, including activity tracking, wellness monitoring, and human-computer interaction, that measure and improve our daily lives. Many of these applications are made possible by leveraging the...

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...

Real-Time Stylized Humanoid Behavior Control through Interaction and Synchronization.

Sensors (Basel, Switzerland)
Restricted by the diversity and complexity of human behaviors, simulating a character to achieve human-level perception and motion control is still an active as well as a challenging area. We present a style-based teleoperation framework with the hel...