Cargando…

Hybrid Deep Feature Fusion of 2D CNN and 3D CNN for Vestibule Segmentation from CT Images

The accurate vestibule segmentation from CT images is essential to the quantitative analysis of the anatomical structure of the ear. However, it is a challenging task due to the tiny size, blur boundary, and drastic variations in shape and size. In this paper, according to the specific characteristi...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ruicong, Zhuo, Li, Chen, Meijuan, Yin, Hongxia, Li, Xiaoguang, Wang, Zhenchang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019448/ https://www.ncbi.nlm.nih.gov/pubmed/35465003 http://dx.doi.org/10.1155/2022/6557593

Ejemplares similares

ECG Signal Classification Based on Fusion of Hybrid CNN and Wavelet Features by D-S Evidence Theory
por: Zhang, Jixiang, et al.
Publicado: (2021)

HybridCTrm: Bridging CNN and Transformer for Multimodal Brain Image Segmentation
por: Sun, Qixuan, et al.
Publicado: (2021)

Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
por: Ahmed, Ibrahim Abdulrab, et al.
Publicado: (2023)

O-Net: A Novel Framework With Deep Fusion of CNN and Transformer for Simultaneous Segmentation and Classification
por: Wang, Tao, et al.
Publicado: (2022)

Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D Model
por: Brousseau, Braiden, et al.
Publicado: (2020)

Classification of Holograms with 3D-CNN
por: Terbe, Dániel, et al.
Publicado: (2022)

Multidimensional CNN-Based Deep Segmentation Method for Tumor Identification
por: Martin, R. John, et al.
Publicado: (2022)

Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
por: Maqsood, Sarmad, et al.
Publicado: (2021)

Multifocus Image Fusion Using Wavelet-Domain-Based Deep CNN
por: Li, Jinjiang, et al.
Publicado: (2019)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis
por: Mahum, Rabbia, et al.
Publicado: (2021)

Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion
por: Li, Jing, et al.
Publicado: (2018)

Contour-enhanced attention CNN for CT-based COVID-19 segmentation
por: Karthik, R., et al.
Publicado: (2022)

Two-stream fusion model using 3D-CNN and 2D-CNN via video-frames and optical flow motion templates for hand gesture recognition
por: Sarma, Debajit, et al.
Publicado: (2022)

A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI
por: Haq, Ejaz Ul, et al.
Publicado: (2022)

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

Feature-Based Fusion Using CNN for Lung and Heart Sound Classification †
por: Tariq, Zeenat, et al.
Publicado: (2022)

Segmentation of CT Lung Images Using FCM with Active Contour and CNN Classifier
por: M, Malathi, et al.
Publicado: (2022)

Improving Depth Estimation by Embedding Semantic Segmentation: A Hybrid CNN Model
por: Valdez-Rodríguez, José E., et al.
Publicado: (2022)

3D model retrieval based on interactive attention CNN and multiple features
por: Gao, Xue-Yao, et al.
Publicado: (2023)

Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN
por: Feng, Fan, et al.
Publicado: (2019)

Multimodal Medical Supervised Image Fusion Method by CNN
por: Li, Yi, et al.
Publicado: (2021)

Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
por: Sahin, M. Emin, et al.
Publicado: (2023)

Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction
por: Casallas, Alejandro, et al.
Publicado: (2022)

Hybrid Techniques of X-ray Analysis to Predict Knee Osteoarthritis Grades Based on Fusion Features of CNN and Handcrafted
por: Khalid, Ahmed, et al.
Publicado: (2023)

MMViT-Seg: A lightweight transformer and CNN fusion network for COVID-19 segmentation
por: Yang, Yuan, et al.
Publicado: (2023)

Electromagnetic Modulation Signal Classification Using Dual-Modal Feature Fusion CNN
por: Bai, Jiansheng, et al.
Publicado: (2022)

Point CNN:3D Face Recognition with Local Feature Descriptor and Feature Enhancement Mechanism
por: Wang, Qi, et al.
Publicado: (2023)

Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion
por: Lu, Weizhong, et al.
Publicado: (2022)

Deep CNN models for predicting COVID-19 in CT and x-ray images
por: Chaddad, Ahmad, et al.
Publicado: (2021)

Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas
por: Hamdi, Mohammed, et al.
Publicado: (2023)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction
por: Yang, Zihao, et al.
Publicado: (2023)

Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models
por: Wang, Jing-Zhe, et al.
Publicado: (2023)

Deep learning ensemble 2D CNN approach towards the detection of lung cancer
por: Shah, Asghar Ali, et al.
Publicado: (2023)

Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma
por: Zhang, Baihua, et al.
Publicado: (2021)

Segmentation of Microscope Erythrocyte Images by CNN-Enhanced Algorithms
por: Buczkowski, Mateusz, et al.
Publicado: (2021)

Fast Attention CNN for Fine-Grained Crack Segmentation
por: Lee, Hyunnam, et al.
Publicado: (2023)

Dual Deep CNN for Tumor Brain Classification
por: Al-Zoghby, Aya M., et al.
Publicado: (2023)

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data
por: Parmar, Harshit, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_72o3erif7r10r2akct782brlth