Zobrazeno 1 - 10
of 14
pro vyhledávání: '"医学图像"'
Autor:
余唯一, 陈涛, 张军平, 单洪明
Publikováno v:
智能科学与技术学报, Vol 5, Iss 3, Pp 293-312 (2023)
脑卒中病灶自动分割方法成为近几年的研究热点。为了全面研究用于MRI脑卒中病灶分割的深度学习方法的现状，针对脑卒中治疗的临床问题，进一步阐述了基于深度学习的病灶分割的研究背
Externí odkaz:
https://doaj.org/article/c66d5f11e3254a9d9df4788696fe981f
Autor:
WANG Feng, CHENG Yongmei
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 40, Iss 6, Pp 1414-1421 (2022)
针对多模态医学图像融合方法融合质量差、计算效率低等问题。提出了一种基于联合双边滤波(JBF)与多阶局部区域能量(MLNE)的图像融合方法。该方法将输入图像分解成能量层和结构层, 对于能
Externí odkaz:
https://doaj.org/article/49a795fd81e34cfbb7d6f822e607a24c
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disease. Neuroimaging based on magnetic resonance imaging (MRI) is one of the most intuitive and reliable methods to perform AD screening and diagnosis. Clinical head MRI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::570ea2bf547d9caa44d780a40ffcd97d
https://europepmc.org/articles/PMC10162926/
https://europepmc.org/articles/PMC10162926/
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::02b021bfebefc09b156716fa49336801
https://europepmc.org/articles/PMC10162936/
https://europepmc.org/articles/PMC10162936/
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
When applying deep learning algorithms to magnetic resonance (MR) image segmentation, a large number of annotated images are required as data support. However, the specificity of MR images makes it difficult and costly to acquire large amounts of ann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1eaf0918839c476b46f3aad5fbb77ed8
https://europepmc.org/articles/PMC10162927/
https://europepmc.org/articles/PMC10162927/
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Magnetic resonance (MR) imaging is an important tool for prostate cancer diagnosis, and accurate segmentation of MR prostate regions by computer-aided diagnostic techniques is important for the diagnosis of prostate cancer. In this paper, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::16a5f757fa45c1b15913b0c90043b08a
https://europepmc.org/articles/PMC10162921/
https://europepmc.org/articles/PMC10162921/
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
The registration of preoperative magnetic resonance (MR) images and intraoperative ultrasound (US) images is very important in the planning of brain tumor surgery and during surgery. Considering that the two-modality images have different intensity r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::f1e5fceba91078d74084d30d6fcef398
https://europepmc.org/articles/PMC10162920/
https://europepmc.org/articles/PMC10162920/
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
In order to address the issues of spatial induction bias and lack of effective representation of global contextual information in colon polyp image segmentation, which lead to the loss of edge details and mis-segmentation of lesion areas, a colon pol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::33ab876229ed53172502d760e9914a88
https://europepmc.org/articles/PMC10162923/
https://europepmc.org/articles/PMC10162923/
Autor:
Yi, Huang, Hongbo, Yang, Menghua, Xia, Yanan, Qu, Yi, Guo, Guohui, Zhou, Feng, Zhang, Yuanyuan, Wang
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
Coronary angiography (CAG) as a typical imaging modality for the diagnosis of coronary diseases hasbeen widely employed in clinical practices. For CAG-based computer-aided diagnosis systems, accurate vessel segmentation plays a fundamental role. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::641cb10e3d34c2c2aee0968da8760ee8
https://pubmed.ncbi.nlm.nih.gov/36310473
https://pubmed.ncbi.nlm.nih.gov/36310473
Publikováno v:
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
The geometric bone model of patients is an important basis for individualized biomechanical modeling and analysis, formulation of surgical planning, design of surgical guide plate, and customization of artificial joint. In this study, a rapid three-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::78857d02ba543df6da462e16d40087af
https://pubmed.ncbi.nlm.nih.gov/36310474
https://pubmed.ncbi.nlm.nih.gov/36310474