Copertina

C‐TUnet: A CNN‐Transformer Architecture‐Based Ultrasound Breast Image Classification Network

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Ying Wu, Faming Li, Bo Xu
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2024
Soggetti:	International Journal of Imaging Systems and Technology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Interactive CNN and Transformer‐Based Cross‐Attention Fusion Network for Medical Image Classification
di: Shu Cai, et al.
Pubblicazione: (2025)

Transformer‐Based Segmentation and Feature Fusion for Multi‐Class Breast Ultrasound Classification
di: Liqun Shi, et al.
Pubblicazione: (2026)

VMC‐UNet: A Vision Mamba‐CNN U‐Net for Tumor Segmentation in Breast Ultrasound Image
di: Dongyue Wang, et al.
Pubblicazione: (2024)

MFH‐Net: A Hybrid CNN‐Transformer Network Based Multi‐Scale Fusion for Medical Image Segmentation
di: Ying Wang, et al.
Pubblicazione: (2024)

Weakly Supervised Breast Cancer Classification on WSI Using Transformer and Graph Attention Network
di: Mingze Li, et al.
Pubblicazione: (2024)

HCN: Hybrid Capsule Network for Fetal Plane Classification in Ultrasound Images
di: Sourav Kumar Tanwar, et al.
Pubblicazione: (2024)

Physics‐Aware Attention Swin Transformer for Ultrasound Image Segmentation
di: Rong Sun, et al.
Pubblicazione: (2026)

VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells
di: Mingzhe Li, et al.
Pubblicazione: (2024)

Advancing Cervical Cancer Classification Through a Fusion of CNN and Vision Transformer Models
di: Fida Hussain Dahri, et al.
Pubblicazione: (2026)

A Center‐Border Dual‐Branch Network With Dynamic Weighted Fusion for Breast Cancer Histopathology Image Classification
di: Liang Zeng, et al.
Pubblicazione: (2026)

An Explainable AI for Blood Image Classification With Dynamic CNN Model Selection Framework
di: Datenji Sherpa, et al.
Pubblicazione: (2025)

Pneumonia Image Classification Based on Lightweight Mobile ViT Networks
di: Zhiqiang Zheng, et al.
Pubblicazione: (2025)

Robust and Multicenter Detection of Breast Malignancies Using Vision Transformers in Digital Breast Tomosynthesis Imaging
di: Amit Sharma, et al.
Pubblicazione: (2026)

A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR
di: Zhang Le, et al.
Pubblicazione: (2024)

Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection
di: Kamakshi Rautela, et al.
Pubblicazione: (2025)

A Novel Network With Spectrum Transformer and Triplet Attention for CT Image Segmentation
di: Ju Zhang, et al.
Pubblicazione: (2025)

Leveraging Medical Foundation Model Features in Graph Neural Network‐Based Retrieval of Breast Histopathology Images
di: Nematollah Saeidi, et al.
Pubblicazione: (2026)

VKT : A Hybrid Vision KAN ‐Transformer Model for Medical Image Classification
di: Guanghua He, et al.
Pubblicazione: (2026)

SPICE : Leveraging Soft Probabilistic Causal Intervention for Breast Ultrasound Tumor Segmentation
di: Haobo Chen, et al.
Pubblicazione: (2026)

Enhancing Breast Cancer Diagnosis With Attention Branch Network and Thermographic Imaging
di: Sruthi Krishna, et al.
Pubblicazione: (2025)

Brain Tumors Classification in MRIs Based on Personalized Federated Distillation Learning With Similarity‐Preserving
di: Bo Wu, et al.
Pubblicazione: (2025)

IGF ‐ CNN : An Optimized Deep Learning Model for Covid‐19 Classification
di: Vinayak Tiwari, et al.
Pubblicazione: (2025)

Multimodal Medical Image Fusion With UNet‐Based Multi‐Scale Transformer Networks
di: Qingwu Fu, et al.
Pubblicazione: (2025)

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

Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer
di: Vidhi Bishnoi, et al.
Pubblicazione: (2025)

Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques
di: T. R. Mahesh, et al.
Pubblicazione: (2024)

3D MedicalDet ‐Mamba: A Hybrid Mamba‐ CNN Network for Medical Object Detection and Localization
di: Shanshan Li, et al.
Pubblicazione: (2025)

M‐Net: A Skin Cancer Classification With Improved Convolutional Neural Network Based on the Enhanced Gray Wolf Optimization Algorithm
di: Zhinan Xu, et al.
Pubblicazione: (2024)

Improved Brain Tumor Segmentation With SegFormer : A Transformer‐Based Architecture for Cross‐Dataset Generalization
di: Alaa Altheneyan, et al.
Pubblicazione: (2025)

Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification
di: S. Malaiarasan, et al.
Pubblicazione: (2024)

YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi‐Institutional Dataset
di: Erfan AkbarnezhadSany, et al.
Pubblicazione: (2024)

SF Net: A Pyramid‐Based Feature Fusion Convolutional Neural Network With Embedded Squeeze‐and‐Excitation Mechanism for Retinal OCT Image Classification
di: Shudi Zheng, et al.
Pubblicazione: (2025)

CAS‐GAN: A Novel Generative Adversarial Network‐Based Architecture for Coronary Artery Segmentation
di: Rawaa Hamdi, et al.
Pubblicazione: (2024)

An Efficient Parallel Branch Network for Multi‐Class Classification of Prostate Cancer From Histopathological Images
di: Vishal Srivastava, et al.
Pubblicazione: (2025)

Enhancement of Chest X‐Ray Images Classification With Fuzzy‐Variable Neural Network Activation Function
di: Rayene Chelghoum, et al.
Pubblicazione: (2025)

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

FPUNet : A Multi‐Level Residual Fractional Domain Transformer Network for Ischemic Stroke Image Segmentation
di: Zhongxia Tan, et al.
Pubblicazione: (2025)

Multi‐Class Classification of Diabetic Retinopathy Diseases From Fundus Images Using Criss‐Cross Attention Based Deep Residual Squeeze and Excitation Assisted Vision Transformer Model
di: Satti Mounika, et al.
Pubblicazione: (2025)

CKTNet : A Cross‐Attention KAN ‐Transformer Based Few‐Shot Learning for Pericardial Adipose Tissue Segmentation
di: Junchi Lu, et al.
Pubblicazione: (2026)

ResTrans‐Unet: A Residual‐Aware Transformer‐Based Approach to Medical Image Segmentation
di: Fengying Ma, et al.
Pubblicazione: (2024)