Cover Image

Efficient spine segmentation network based on multi‐scale feature extraction and multi‐dimensional spatial attention

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Guohao Xu, Chuantao Wang, Zhuoyuan Li, Jiliang Zhai, Saishuo Wang
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	International Journal of Imaging Systems and Technology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A combination of multi‐scale and attention based on the U‐shaped network for retinal vessel segmentation
by: Yan Zhang, et al.
Published: (2024)

Efficient multiscale spatial attention3Dabdominal multiorgan segmentation model
by: Chenxi Yan, et al.
Published: (2024)

MAUNet: Polyp segmentation network based on multiscale feature fusion of attention U‐shaped network structure
by: Jianwu Long, et al.
Published: (2024)

Accurate diagnosis of dementia and Alzheimer's with deep network approach based on multi‐channel feature extraction and selection
by: Mehmet Emre Sertkaya, et al.
Published: (2024)

Polyp segmentation network based on lightweight model and reverse attention mechanisms
by: Jianwu Long, et al.
Published: (2024)

Research on multi‐center assisted diagnosis of ASD based on multimodal feature fusion
by: Ru Zhang, et al.
Published: (2024)

Brain tumor image segmentation algorithm based on multimodal feature fusion of Bayesian weight distribution
by: Ju Li, et al.
Published: (2024)

Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system
by: Vivek Patel, et al.
Published: (2024)

MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
by: Liwen Zhang, et al.
Published: (2024)

Two‐dimensional medical image segmentation based on U‐shaped structure
by: Sijing Cai, et al.
Published: (2024)

Segmentation of the left atrium and proximal pulmonary veins based on dimensional decomposition attention
by: Guodong Zhang, et al.
Published: (2024)

A target region extraction method for ultrasound medical images based on improvedPRIDNetandUCTransNet
by: Jintao Zhai, et al.
Published: (2024)

Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images
by: Meena Lekshmanan Chinna, et al.
Published: (2024)

Robust nuclei segmentation with encoder‐decoder network from the histopathological images
by: Mahesh Gour, et al.
Published: (2024)

CCheXR‐Attention : Clinical concept extraction and chest x‐ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention
by: Somiya Rani, et al.
Published: (2024)

Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network
by: M. Ramkumar, et al.
Published: (2024)

Correction to “Automated detection and classification of skin diseases using diverse features and improved gray wolf‐based multiple‐layer perceptron neural network”
Published: (2024)

CGS‐Net: A classification‐guided framework for automated infection segmentation of COVID‐19 from CT images
by: Wen Zhou, et al.
Published: (2024)

A customized ConvNeXt‐XL network with fusion of deep and handcrafted features for colposcopy image classification
by: Thendral Natarajan, et al.
Published: (2024)

EENet: Application of convolutional neural network‐based deep learning methods in bone tumor pathological diagnosis
by: Xiuyan Li, et al.
Published: (2024)

CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer
by: Bhaswati Singha Deo, et al.
Published: (2024)

An efficient brain tumor segmentation model based on group normalization and 3D U‐Net
by: Runlin Chen, et al.
Published: (2024)

Lite‐PolypNet: A Lightweight and Efficient Network for Polyp Segmentation in Colonoscopy Images
by: Haiping Xu, et al.
Published: (2025)

Evaluation of optimal interpolation and segmentation of the optic nerves on magnetic resonance images for cross‐sectional area measurement
by: Li Sze Chow, et al.
Published: (2024)

Lung computed tomography image enhancement using U‐Net segmentation
by: Alaa H. Sheer, et al.
Published: (2024)

Multidimensional perturbed consistency learning for semi‐supervised medical image segmentation
by: Enze Yuan, et al.
Published: (2024)

Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach
by: Seong‐O Shim, et al.
Published: (2024)

A region of interest focused Triple UNet architecture for skin lesion segmentation
by: Guoqing Liu, et al.
Published: (2024)

D‐Unet: A symmetric architecture of convolutional neural network with two auxiliary outputs for dementia recognition
by: Siying Li, et al.
Published: (2024)

Deriving and interpreting robust features for survival prediction of brain tumor patients
by: Snehal Rajput, et al.
Published: (2024)

A systematic review of deep learning methods for the classification and segmentation of prostate cancer on magnetic resonance images
by: R. Deiva Nayagam, et al.
Published: (2024)

An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning
by: C. Sahaya Pushpa Sarmila Star, et al.
Published: (2024)

DiffSwinTr: A diffusion model using 3D Swin Transformer for brain tumor segmentation
by: Junan Zhu, et al.
Published: (2024)

A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy‐preserving federated learning
by: Şevket Ay, et al.
Published: (2024)

A Joint Lightweight U‐Shaped Network for Efficient Medical Image Segmentation of Melanoma and Breast Cancer
by: Ting Ma, et al.
Published: (2025)

Computerized diagnosis of knee osteoarthritis from x‐ray images using combined texture features: Data from the osteoarthritis initiative
by: Khadidja Messaoudene, et al.
Published: (2024)

RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture
by: Syedsafi Shajahan, et al.
Published: (2024)

A Novel Edge‐Enhanced Networks for Optic Disc and Optic Cup Segmentation
by: Mingtao Liu, et al.
Published: (2024)

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
by: Isaac Shiri, et al.
Published: (2024)

Shallow Convolution and Parallel Coarse‐To‐Fine Attention for Brain Signal Classification
by: Xiwen Qin, et al.
Published: (2025)