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Open access

ISSN: 2096-5796
CN: 10-1561/TP
e-ISSN: 2666-1209

Intelligent diagnosis of atrial septal defect in children using echocardiography with deep learning

Atrial septal defect (ASD) is one of the most common congenital heart diseases. The diagnosis of ASD via transthoracic echocardiography is subjective and time-consuming....

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ARGA-Unet: Advanced U-net segmentation model using residual grouped convolution and attention mechanism for brain tumor MRI image segmentation

Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its non-invasive...

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Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning

Deep convolutional neural networks have garnered considerable attention in numerous machine learning applications, particularly in visual recognition tasks such as image and video analyses. There is...

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Face animation based on multiple sources and perspective alignment

Face image animation generates a synthetic human face video that harmoniously integrates the identity derived from the source image and facial motion obtained from the driving video. This technology...

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Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer

The prognosis and survival of patients with lung cancer are likely to deteriorate with metastasis. Using deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation...

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A review of medical ocular image segmentation

Deep learning has been extensively applied to medical image segmentation, resulting in significant advancements in the field of deep neural networks for medical image segmentation since the notable...

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Chemical simulation teaching system based on virtual reality and gesture interaction

Most existing chemical experiment teaching systems lack solid immersive experiences, making it difficult to engage students. To address these challenges, we propose a chemical simulation teaching system...

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Towards engineering a portable platform for laparoscopic pre-training in virtual reality with haptic feedback

Laparoscopic surgery is a surgical technique in which special instruments are inserted through small incision holes inside the body. For some time, efforts have been made to improve surgical pretraining...

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Effects of virtual agents on interaction efficiency and environmental immersion in MR environments

Physical entity interactions in mixed reality (MR) environments aim to harness human capabilities in manipulating physical objects, thereby enhancing virtual environment (VEs) functionality. In MR,...

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Large-scale spatial data visualization method based on augmented reality

A task assigned to space exploration satellites involves detecting the physical environment within a certain space. However, space detection data are complex and abstract. These data are not conducive...

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Exploring the effect of fingertip aero-haptic feedforward cues in directing eyes-free target acquisition in VR

The sense of touch plays a crucial role in interactive behavior within virtual spaces, particularly when visual attention is absent. Although haptic feedback has been widely used to compensate for the...

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VR-based digital twin for remote monitoring of mining equipment: Architecture and a case study

Traditional methods for monitoring mining equipment rely primarily on visual inspections, which are time-consuming, inefficient, and hazardous. This article introduces a novel approach to monitoring...

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Personalized assessment and training of neurosurgical skills in virtual reality: An interpretable machine learning approach

Virtual reality technology has been widely used in surgical simulators, providing new opportunities for assessing and training surgical skills. Machine learning algorithms are commonly used to analyze...

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Effective data transmission through energy-efficient clustering and Fuzzy-Based IDS routing approach in WSNs

Wireless sensor networks (WSN) gather information and sense information samples in a certain region and communicate these readings to a base station (BS). Energy efficiency is considered a major design...

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Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study

A medical content-based image retrieval (CBIR) system is designed to retrieve images from large imaging repositories that are visually similar to a user′s query image. CBIR is widely used in evidence-...

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Selective sampling with Gromov–Hausdorff metric: Efficient dense-shape correspondence via Confidence-based sample consensus

Functional mapping, despite its proven efficiency, suffers from a “chicken or egg” sce- nario, in that, poor spatial features lead to inadequate spectral alignment and vice versa during training, often...

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Audio2AB: Audio-driven collaborative generation of virtual character animation

Considerable research has been conducted in the areas of audio-driven virtual character gestures and facial animation with some degree of success. However, few methods exist for generating full-body...

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Intelligent 3D garment system of the human body based on deep spiking neural network

Intelligent garments, a burgeoning class of wearable devices, have extensive applications in domains such as sports training and medical rehabilitation. Nonetheless, existing research in the smart wearables...

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Image defocus deblurring method based on gradient difference of boundary neighborhood

For static scenes with multiple depth layers, the existing defocused image deblurring methods have the problems of edge ringing artifacts or insufficient deblurring degree due to inaccurate estimation...

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PartLabeling: A Label Management Framework in 3D Space

In this work, we focus on the label layout problem: specifying the positions of overlaid virtual annotations in Virtual/Augmented Reality scenarios. Designing a layout of labels that does not violate...

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Opening Design using Bayesian Optimization

Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc.,...

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Adequate alignment and interaction for cross-modal retrieval

Cross-modal retrieval has attracted widespread attention in many cross-media similarity search applications, especially image-text retrieval in the fields of computer vision and natural language processing....

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HYDRO: Optimizing interactive hybrid images for digital signage content

In modern society, digital signage installed in many large-scale facilities supports our daily life. However, with a limited screen size, it is difficult to provide different types of information for...

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RealFuVSR: Feature Enhanced Real-World Video Super-Resolution

The recurrent recovery is one of the common methods for video super-resolution, which models the correlation between frames via hidden states. However, when we apply the structure to real-world scenarios,...

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ILIDViz: An Incremental Learning-Based Visual Analysis System for Network Anomaly Detection

With the development of information technology, network traffic logs mixed with various kinds of cyber-attacks have grown explosively. Traditional intrusion detection systems (IDS) have limited ability...

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