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

A review of the design methods of complex topology structures for 3D printing
- 2018
Jiawei Feng, Jianzhong Fu, Zhiwei Lin, Ce Shang, Bin Li
Crime forecasting: a machine learning and computer vision approach to crime prediction and prevention
Neil Shah, Nandish Bhagat, Manan Shah
AbstractA 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...... hiện toàn bộ
Adaptive deep learning for head and neck cancer detection using hyperspectral imaging
Tập 2 Số 1 - 2019
Ling Ma, Guolan Lu, Dongsheng Wang, Xulei Qin, Zhuo Georgia Chen, Baowei Fei
AbstractIt 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...... hiện toàn bộ
Denouements of machine learning and multimodal diagnostic classification of Alzheimer’s disease
- 2020
B. Balaji Naik, Ashir Mehta, Manan Shah
Abstract 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...... hiện toàn bộ
Modeling and simulation of an anatomy teaching system
- 2019
Xiaoqin Zhang, Jingyi Yang, Na Chen, Shaoxiang Zhang, Yifa Xu, Liwen Tan
Systematic review of digital twin technology and applications
Tập 6 Số 1
Junfeng Yao, Yang Yang, Xuecheng Wang, Xiaopeng Zhang
AbstractAs 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 ...... hiện toàn bộ
Frontiers in biomolecular mesh generation and molecular visualization systems
- 2018
Sheng Gui, Dawar Khan, Qin Wang, Dong‐Ming Yan, Benzhuo Lu
Research on a bifurcation location algorithm of a drainage tube based on 3D medical images
- 2020
Qiuling Pan, Wei Zhu, Xiaolin Zhang, Jincai Chang, Jianzhong Cui
AbstractBased 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...... hiện toàn bộ
Vision transformer architecture and applications in digital health: a tutorial and survey
Khalid Al-hammuri, Fayez Gebali, Awos Kanan, Ilamparithi Thirumarai Chelvan
AbstractThe 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...... hiện toàn bộ
Optical neuroimaging: advancing transcranial magnetic stimulation treatments of psychiatric disorders
Shixie Jiang, Linda L. Carpenter, Huabei Jiang
AbstractTranscranial 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...... hiện toàn bộ