Copertina

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Houze, Li, Iris, Liang, Yaxin, Sun, Dan, Yang, Yining, Yang, Haowei
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
di: Zhan, Qishi, et al.
Pubblicazione: (2024)

Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
di: Liu, Houze, et al.
Pubblicazione: (2024)

LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction
di: Yu, Zhongxin, et al.
Pubblicazione: (2024)

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
di: Ahad, Md Taimur, et al.
Pubblicazione: (2024)

Convolutional Neural Networks for Predictive Modeling of Lung Disease
di: Liang, Yingbin, et al.
Pubblicazione: (2024)

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
di: Liu, Houze, et al.
Pubblicazione: (2024)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
di: Yan, Hao, et al.
Pubblicazione: (2024)

Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
di: Jain, Rohit Kumar, et al.
Pubblicazione: (2021)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
di: Sivasubramanian, Arrun, et al.
Pubblicazione: (2024)

CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks
di: Howard, Sunny, et al.
Pubblicazione: (2024)

Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
di: Park, Chicago Y., et al.
Pubblicazione: (2023)

Airway Segmentation Network for Enhanced Tubular Feature Extraction
di: Wu, Qibiao, et al.
Pubblicazione: (2025)

Adaptive Convolutional Neural Network for Image Super-resolution
di: Wu, Ziang, et al.
Pubblicazione: (2024)

Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans
di: Morris, Tyler, et al.
Pubblicazione: (2024)

Deep Inertia $L_p$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction
di: Guo, Yu, et al.
Pubblicazione: (2024)

Technical Report: Towards Spatial Feature Regularization in Deep-Learning-Based Array-SAR Reconstruction
di: Ren, Yu, et al.
Pubblicazione: (2024)

2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks
di: Patel, Salil B, et al.
Pubblicazione: (2024)

ABCDEFGH: An Adaptation-Based Convolutional Neural Network-CycleGAN Disease-Courses Evolution Framework Using Generative Models in Health Education
di: Min, Ruiming, et al.
Pubblicazione: (2025)

Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
di: Alve, Shahran Rahman, et al.
Pubblicazione: (2024)

A design of Convolutional Neural Network model for the Diagnosis of the COVID-19
di: Song, Xinyuan
Pubblicazione: (2023)

Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
di: Ishaq, Kashif, et al.
Pubblicazione: (2024)

HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models
di: Sun, Kailai, et al.
Pubblicazione: (2024)

Region Attention Transformer for Medical Image Restoration
di: Yang, Zhiwen, et al.
Pubblicazione: (2024)

An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation
di: Gao, Zijun, et al.
Pubblicazione: (2024)

Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
di: Wang, He, et al.
Pubblicazione: (2024)

Deep Attention Unet: A Network Model with Global Feature Perception Ability
di: Li, Jiacheng
Pubblicazione: (2023)

DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification
di: Cao, Weijia, et al.
Pubblicazione: (2025)

CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning
di: Wang, Meng, et al.
Pubblicazione: (2025)

Enhancing Radiology Diagnosis through Convolutional Neural Networks for Computer Vision in Healthcare
di: K., Keshav Kumar, et al.
Pubblicazione: (2023)

Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions
di: Agrawal, Yash, et al.
Pubblicazione: (2024)

Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising
di: Ataei, Sepehr, et al.
Pubblicazione: (2020)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
di: Helm, Kimberly, et al.
Pubblicazione: (2024)

Direct Kernel Optimization: Efficient Design for Opto-Electronic Convolutional Neural Networks
di: Almuallem, Ali, et al.
Pubblicazione: (2025)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
di: Maani, Fadillah, et al.
Pubblicazione: (2024)

EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
di: Iqbal, Shahzaib, et al.
Pubblicazione: (2024)

A Novel Frame Identification and Synchronization Technique for Smartphone Visible Light Communication Systems Based on Convolutional Neural Networks
di: Yokar, Vaigai Nayaki, et al.
Pubblicazione: (2025)

Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
di: Liu, Yikang, et al.
Pubblicazione: (2024)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
di: García-Ordás, María Teresa, et al.
Pubblicazione: (2024)

A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
di: Ahad, Md Taimur, et al.
Pubblicazione: (2024)

Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
di: Irfan, Muhammad, et al.
Pubblicazione: (2025)