Cargando…

Brain Medical Image Fusion Based on Dual-Branch CNNs in NSST Domain

Computed tomography (CT) images show structural features, while magnetic resonance imaging (MRI) images represent brain tissue anatomy but do not contain any functional information. How to effectively combine the images of the two modes has become a research challenge. In this paper, a new framework...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ding, Zhaisheng, Zhou, Dongming, Nie, Rencan, Hou, Ruichao, Liu, Yanyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178475/ https://www.ncbi.nlm.nih.gov/pubmed/32352003 http://dx.doi.org/10.1155/2020/6265708

Ejemplares similares

Image Fusion of CT and MR with Sparse Representation in NSST Domain
por: Qiu, Chenhui, et al.
Publicado: (2017)

Multimodal medical image fusion in NSST domain with structural and spectral features enhancement
por: Khan, Sajid Ullah, et al.
Publicado: (2023)

Multibaseline Interferometric Phase Denoising Based on Kurtosis in the NSST Domain
por: Liu, Yanfang, et al.
Publicado: (2020)

A Method for Medical Microscopic Images’ Sharpness Evaluation Based on NSST and Variance by Combining Time and Frequency Domains
por: Wu, Xuecheng, et al.
Publicado: (2022)

TbsNet: the importance of thin-branch structures in CNNs
por: Hu, Xiujian, et al.
Publicado: (2023)

Multiscale CNNs for Brain Tumor Segmentation and Diagnosis
por: Zhao, Liya, et al.
Publicado: (2016)

Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix
por: Ruan, Xiaoli, et al.
Publicado: (2020)

FCF: Feature complement fusion network for detecting COVID-19 through CT scan images
por: Liang, Shu, et al.
Publicado: (2022)

Malicious Code Variant Identification Based on Multiscale Feature Fusion CNNs
por: Wang, Shuo, et al.
Publicado: (2021)

Crack Detection in Images of Masonry Using CNNs
por: Hallee, Mitchell J., et al.
Publicado: (2021)

FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features
por: Ragab, Dina A., et al.
Publicado: (2020)

Content-based medical image retrieval system for lung diseases using deep CNNs
por: Agrawal, Shubham, et al.
Publicado: (2022)

Deep CNNs with Robust LBP Guiding Pooling for Face Recognition
por: Ma, Zhongjian, et al.
Publicado: (2018)

CNNs reveal the computational implausibility of the expertise hypothesis
por: Kanwisher, Nancy, et al.
Publicado: (2023)

Interpreting the decisions of CNNs via influence functions
por: Aamir, Aisha, et al.
Publicado: (2023)

CNNs for automatic glaucoma assessment using fundus images: an extensive validation
por: Diaz-Pinto, Andres, et al.
Publicado: (2019)

Image Correction Methods for Regions of Interest in Liver Cirrhosis Classification on CNNs
por: Mitani, Yoshihiro, et al.
Publicado: (2022)

Cross-Domain Object Detection by Dual Adaptive Branch
por: Liu, Xinyi, et al.
Publicado: (2023)

Ensemble Framework of Deep CNNs for Diabetic Retinopathy Detection
por: Jinfeng, Gao, et al.
Publicado: (2020)

Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics
por: Vaz, Joel Markus, et al.
Publicado: (2021)

Emergence of Lie Symmetries in Functional Architectures Learned by CNNs
por: Bertoni, Federico, et al.
Publicado: (2021)

ECG Data Analysis with Denoising Approach and Customized CNNs
por: Mishra, Abhinav, et al.
Publicado: (2022)

MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs
por: Walluscheck, Sina, et al.
Publicado: (2022)

Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images
por: Huang, Yunzhi, et al.
Publicado: (2019)

Breast cancer histopathology image classification through assembling multiple compact CNNs
por: Zhu, Chuang, et al.
Publicado: (2019)

Multiple Sclerosis Lesions Segmentation Using Attention-Based CNNs in FLAIR Images
Publicado: (2022)

Image-Based Pain Intensity Estimation Using Parallel CNNs with Regional Attention
por: Ye, Xinting, et al.
Publicado: (2022)

An Accelerator Design Using a MTCA Decomposition Algorithm for CNNs
por: Zhao, Yunping, et al.
Publicado: (2020)

Analytic Study of Complex Fractional Tsallis’ Entropy with Applications in CNNs
por: Ibrahim, Rabha W., et al.
Publicado: (2018)

Reconfigurable Architecture and Dataflow for Memory Traffic Minimization of CNNs Computation
por: Cheng, Wei-Kai, et al.
Publicado: (2021)

Detection of Dental Apical Lesions Using CNNs on Periapical Radiograph
por: Li, Chun-Wei, et al.
Publicado: (2021)

Sensing and Detection of Traffic Signs Using CNNs: An Assessment on Their Performance
por: Canese, Lorenzo, et al.
Publicado: (2022)

Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNs Meet Transformers Classifier
por: Tian, Ziwei, et al.
Publicado: (2023)

No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion
por: Cui, Yueli
Publicado: (2020)

Biomedical literature classification with a CNNs-based hybrid learning network
por: Yan, Yan, et al.
Publicado: (2018)

DMENet: Diabetic Macular Edema diagnosis using Hierarchical Ensemble of CNNs
por: Singh, Rajeev Kumar, et al.
Publicado: (2020)

Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France
por: Mohimont, Lucas, et al.
Publicado: (2021)

Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge
por: Ponzina, Flavio, et al.
Publicado: (2022)

Separation of scales and a thermodynamic description of feature learning in some CNNs
por: Seroussi, Inbar, et al.
Publicado: (2023)

CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?
por: Sun, Junding, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_8arko80igkrgro7020snsvgdc6