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检索条件"主题词=3D convolutional neural network"
208 条 记 录,以下是11-20 订阅
排序:
Organ segmentation from computed tomography images using the 3d convolutional neural network: a systematic review
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INTERNATIONAL JOURNAL OF MULTIMEdIA INFORMATION RETRIEVAL 2022年 第3期11卷 315-331页
作者: Ilesanmi, Ademola E. Ilesanmi, Taiwo Idowu, Oluwagbenga P. Torigian, drew A. Udupa, Jayaram K. Univ Penn Dept Radiol Med Image Proc Grp Goddard Bldg3710 Hamilton Walk6th Floor Philadelphia PA 19104 USA Natl Populat Commiss Abuja Nigeria Sichuan Univ West China Hosp Chengdu Peoples R China
Computed tomography images are scans that combine a series of X-rays with computer processing techniques to display organs in the body. Recently, 3d CNN models have become effective in tasks relating to recognition, d... 详细信息
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Isotropic Brain MRI Reconstruction from Orthogonal Scans Using 3d convolutional neural network
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SENSORS 2024年 第20期24卷 6639页
作者: Tian, Jinsha Xiao, Canjun Zhu, Hongjin Chengdu Technol Univ Sch Big Data & Artificial Intelligence Chengdu 611730 Peoples R China Chengdu Technol Univ Digital Twin Lab Chengdu 611730 Peoples R China
As an alternative to true isotropic 3d imaging, image super-resolution (SR) has been applied to reconstruct an isotropic 3d volume from multiple anisotropic scans. However, traditional SR methods struggle with inadequ... 详细信息
来源: 评论
Smoke Video detection Algorithm Based On 3d convolutional neural network  34
Smoke Video Detection Algorithm Based On 3D Convolutional Ne...
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34th Chinese Control and decision Conference (CCdC)
作者: Shi, Zhen Sun, Rui Huo, Mingge Harbin Engn Univ Inst Intelligent Syst Sci & Engn Harbin 150001 Peoples R China Beijing Electromech Engn Res Inst Beijing Beijing Peoples R China
Smoke detection can play a key role in the early stage of a fire. Traditional video smoke detection mainly extracts image features of smoke and uses machine learning methods to classify and recognize smoke. However, s... 详细信息
来源: 评论
Link Prediction Based on 3d convolutional neural network
Link Prediction Based on 3D Convolutional Neural Network
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IEEE/CIC International Conference on Communications in China (ICCC)
作者: Shu, Jian Li, JiaHao Zhang, XuePei Nanchang Hangkong Univ Sch Software Nanchang Jiangxi Peoples R China Nanchang Hangkong Univ Sch Informat Engn Nanchang Jiangxi Peoples R China
The dynamic evolution of networks opportunities is very complex, which brings challenges to link prediction. By analyzing the mobile characteristics of nodes, a new link prediction algorithm of opportunistic networks ... 详细信息
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A new 3d convolutional neural network (3d-CNN) framework for multimedia event detection
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SIGNAL IMAGE ANd VIdEO PROCESSING 2021年 第4期15卷 779-787页
作者: Kanagaraj, Kaavya Priya, G. G. Lakshmi VIT SITE Vellore Tamil Nadu India
Multimedia event detection has received a great deal of interest due to developments in video technology and an increase in multimedia data. However, complexities of video content such as noisy, overlapping, repeated ... 详细信息
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Optimising a 3d convolutional neural network for head and neck computed tomography segmentation with limited training data
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PHYSICS & IMAGING IN RAdIATION ONCOLOGY 2022年 22卷 44-50页
作者: Henderson, Edward G. A. Osorio, Eliana M. Vasquez van Herk, Marcel Green, Andrew F. Univ Manchester Oxford Rd Manchester M13 9PL England Christie NHS Fdn Trust Radiotherapy Related Res Manchester M20 4BX England
Background and purpose: convolutional neural networks (CNNs) are increasingly used to automate segmentation for radiotherapy planning, where accurate segmentation of organs-at-risk (OARs) is crucial. Training CNNs oft... 详细信息
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An end-to-end 3d convolutional neural network for decoding attentive mental state
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neural networkS 2021年 144卷 129-137页
作者: Zhang, Yangsong Cai, Huan Nie, Li Xu, Peng Zhao, Sirui Guan, Cuntai Southwest Univ Sci & Technol Sch Comp Sci & Technol Mianyang Sichuan Peoples R China Univ Elect Sci & Technol China Sch Life Sci & Technol MOE Key Lab Neuroinformat Chengdu Peoples R China Nanyang Technol Univ NTU Sch Comp Sci & Engn Singapore Singapore Minist Educ Key Lab Cognit & Personal Chongqing Peoples R China
The detection of attentive mental state plays an essential role in the neurofeedback process and the treatment of Attention deficit and Hyperactivity disorder (AdHd). However, the performance of the detection methods ... 详细信息
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Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3d convolutional neural network
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COMPUTERS IN BIOLOGY ANd MEdICINE 2023年 第1期160卷 107022-107022页
作者: Shen, Mingkan Wen, Peng Song, Bo Li, Yan Univ Southern Queensland Sch Engn Toowoomba Australia Univ Southern Queensland Sch Math Phys & Comp Toowoomba Australia
Schizophrenia (ScZ) is a devastating mental disorder of the human brain that causes a serious impact of emotional inclinations, quality of personal and social life and healthcare systems. In recent years, deep learnin... 详细信息
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Reviewing 3d convolutional neural network approaches for medical image segmentation
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HELIYON 2024年 第6期10卷 e27398页
作者: Ilesanmi, Ademola E. Ilesanmi, Taiwo O. Ajayi, Babatunde O. Univ Penn 3710 Hamilton Walk6th Floor Philadelphia PA 19104 USA Natl Populat Commiss Abuja Nigeria Natl Astron Res Inst Thailand Chiang Mai 50180 Thailand
Background: convolutional neural networks (CNNs) assume pivotal roles in aiding clinicians in diagnosis and treatment decisions. The rapid evolution of imaging technology has established three-dimensional (3d) CNNs as... 详细信息
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MBANet: A 3d convolutional neural network with multi-branch attention for brain tumor segmentation from MRI images
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BIOMEdICAL SIGNAL PROCESSING ANd CONTROL 2023年 第Part1期80卷 000-000页
作者: Cao, Yuan Zhou, Weifeng Zang, Min An, dianlong Feng, Yan Yu, Bin Qingdao Univ Sci & Technol Coll Informat Sci & Technol Sch Data Sci Qingdao 266061 Peoples R China Qingdao Univ Sci & Technol Coll Math & Phys Qingdao 266061 Peoples R China Univ Sci & Technol China Sch Data Sci Hefei 230027 Peoples R China
More than half of brain tumors are malignant tumors, so there is a need for fast and accurate segmentation of tumor regions in brain Magnetic Resonance Imaging (MRI) images. Traditional 2d brain tumor segmentation met... 详细信息
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