Visual Computing for Industry, Biomedicine, and Art
SCOPUS (2018-2025)ESCI-ISI
2524-4442
2096-496X
Đức
Cơ quản chủ quản: Springer Science and Business Media Deutschland GmbH , SPRINGER SINGAPORE PTE LTD
Lĩnh vực:
SoftwareComputer Graphics and Computer-Aided DesignVisual Arts and Performing ArtsComputer Vision and Pattern RecognitionMedicine (miscellaneous)Computer Science (miscellaneous)
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Các bài báo tiêu biểu
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention Abstract A crime is a deliberate act that can cause physical or psychological harm, as well as property damage or loss, and can lead to punishment by a state or other authority according to the severity of the crime. The number and forms of criminal activities are increasing at an alarming rate, forcing agencies to develop efficient methods to take preventive measur... ...
Adaptive deep learning for head and neck cancer detection using hyperspectral imagingAbstract It can be challenging to detect tumor margins during surgery for complete resection. The purpose of this work is to develop a novel learning method that learns the difference between the tumor and benign tissue adaptively for cancer detection on hyperspectral images in an animal model. Specifically, an auto-encoder network is trained based on the wavelength... ...
Tập 2 Số 1 - 2019
Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s diseaseAbstract
Alzheimer’s disease (AD) is the most common type of dementia. The exact cause and treatment of the disease are still unknown. Different neuroimaging modalities, such as magnetic resonance imaging (MRI), positron emission tomography, and single-photon emission computed tomography, have played a significant role in the study of AD. However, the effective dia... ...
- 2020
Systematic review of digital twin technology and applicationsAbstract As one of the most important applications of digitalization, intelligence, and service, the digital twin (DT) breaks through the constraints of time, space, cost, and security on physical entities, expands and optimizes the relevant functions of physical entities, and enhances their application value. This phenomenon has been widely studied in academia and ... ...
Tập 6 Số 1
Research on a bifurcation location algorithm of a drainage tube based on 3D medical imagesAbstract Based on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modified adaptive weighted particle swarm optimization is proposed and u... ...
- 2020
Vision transformer architecture and applications in digital health: a tutorial and survey Abstract The vision transformer (ViT) is a state-of-the-art architecture for image recognition tasks that plays an important role in digital health applications. Medical images account for 90% of the data in digital medicine applications. This article discusses the core foundations of the ViT architecture and its digital health applications. These applications inclu... ...
Optical neuroimaging: advancing transcranial magnetic stimulation treatments of psychiatric disorders Abstract Transcranial magnetic stimulation (TMS) has been established as an important and effective treatment for various psychiatric disorders. However, its effectiveness has likely been limited due to the dearth of neuronavigational tools for targeting purposes, unclear ideal stimulation parameters, and a lack of knowledge regarding the physiological response of t... ...