Copertina

KIDBA ‐Net: A Multi‐Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi‐Cross Attention

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Jie Min, Tongyuan Huang, Boxiong Huang, Chuanxin Hu, Zhixing Zhang
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
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

Diff‐ CFFBNet : Diffusion‐Embedded Cross‐Layer Feature Fusion Bridge Network for Brain Tumor Segmentation
di: Xiaosheng Wu, et al.
Pubblicazione: (2025)

CLA ‐ UNet : Convolution and Focused Linear Attention Fusion for Tumor Cell Nucleus Segmentation
di: Wei Guo, et al.
Pubblicazione: (2025)

DETF ‐Net: A Network for Retinal Vessel Segmentation Utilizing Detailed Feature Enhancement and Dynamic Temporal Fusion
di: Shaoli Li, et al.
Pubblicazione: (2025)

DCFU‐Net: Rethinking an Effective Attention and Convolutional Architecture for Retinal Vessel Segmentation
di: Yongli Xian, et al.
Pubblicazione: (2024)

Adaptive Fusion and Edge‐Oriented Enhancement for Brain Tumor Segmentation With Missing Modalities
di: Yulan Yan, et al.
Pubblicazione: (2025)

Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net
di: Yuhua Li, et al.
Pubblicazione: (2025)

RETRACTION: An Enhanced Framework for Identifying Brain Tumor Using Discrete Wavelet Transform, Deep Convolutional Network, and Feature Fusion‐Based Machine Learning Techniques
Pubblicazione: (2026)

Res‐MulFra: Multilevel and Multiscale Framework for Brain Tumor Segmentation
di: Dan Huang, et al.
Pubblicazione: (2024)

Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging
di: Anita Thengade, et al.
Pubblicazione: (2024)

Source‐Free Domain Adaptive Fundus Image Segmentation With Multiscale Feature Fusion and Stepwise Attention Integration
di: Mingtao Liu, et al.
Pubblicazione: (2026)

Towards Efficient Brain Tumor Segmentation via a Transformer‐Driven 3D U‐Net
di: Runlin Chen, et al.
Pubblicazione: (2025)

Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging
di: Mojtaba Mansouri Nejad, et al.
Pubblicazione: (2025)

3D U‐Net‐Based Brain Tumor Semantic Segmentation Using a Modified Data Generator
di: Dinesh Kumar, et al.
Pubblicazione: (2025)

CMFR ‐Net: Cross Multi‐Scale Features Refinement Network for Medical Image Segmentation
di: Huimin Guo, et al.
Pubblicazione: (2025)

GRASP ‐Net: Grouped Residual Convolution U‐Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images
di: R. Deiva Nayagam, et al.
Pubblicazione: (2025)

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

CITMambaNet : Cross Modality Progressive Fusion ITMamba Network for PET ‐ CT Medical Image Segmentation
di: Shikuan Jia, et al.
Pubblicazione: (2025)

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

BiOrthoNet : Efficient Retinal OCT Classification Using Direction‐Specific Convolutions
di: Ezzaldeen H. A. Abukhattab, et al.
Pubblicazione: (2026)

EGCF ‐Net Edge‐Aware Graph‐Based Attention Network With Enhanced Contextual Features for Medical Image Segmentation
di: Santoshi Gorli, et al.
Pubblicazione: (2025)

MR Brain Tumor Image Segmentation Based on EA ‐ UNet
di: Shengzhou Xu, et al.
Pubblicazione: (2026)

Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures
di: Abbadullah .H Saleh, 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)

Adapting Segment Anything Model for 3D Brain Tumor Segmentation With Missing Modalities
di: Xiaoliang Lei, et al.
Pubblicazione: (2024)

SEA ‐Net: Dual Attention U‐Net for Bleeding Segmentation in Capsule Endoscopy Images
di: Tareque Bashar Ovi, et al.
Pubblicazione: (2025)

MSAF: A Cardiac 3D Image Segmentation Network Based on Multiscale Collaborative Attention and Multiscale Feature Fusion
di: Guodong Zhang, et al.
Pubblicazione: (2025)

Adaptive Dual‐Model Federated Learning for Generalizable Brain Tumor Segmentation
di: Abdul Raheem, et al.
Pubblicazione: (2025)

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

Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection
di: Jainy Sachdeva, et al.
Pubblicazione: (2024)

Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp
di: Malik Abdul Manan, et al.
Pubblicazione: (2025)

A Leakage‐Resistant Spatially Weighted Active Contour for Brain Tumor Segmentation
di: Bijay Kumar Sa, et al.
Pubblicazione: (2025)

A Multi‐Fusion Residual Attention U‐Net Using Temporal Information for Segmentation of Left Ventricular Structures in 2D Echocardiographic Videos
di: Kai Wang, et al.
Pubblicazione: (2024)

SkinSegNet : An Advanced Encoder–Decoder for Skin Lesion Segmentation Using Channel‐Aware and Spatial Cross‐Scale Attention
di: P. Nithin, et al.
Pubblicazione: (2025)

GTMamba : Graph Tri‐Orientated Mamba Network for 3D Brain Tumor Segmentation
di: Ye Zhang, et al.
Pubblicazione: (2025)

Three‐Dimensional Network With Squeeze and Excitation for Accurate Multi‐Region Brain Tumor Segmentation
di: Anila Kunjumon, et al.
Pubblicazione: (2025)

Feature Pyramid Network Based Spatial Attention and Cross‐Level Semantic Similarity for Diseases Segmentation From Capsule Endoscopy Images
di: Said Charfi, et al.
Pubblicazione: (2024)

MMCAF : A Survival Status Prediction Method Based on Cross‐Attention Fusion of Multimodal Colorectal Cancer Data
di: Xueping Tan, et al.
Pubblicazione: (2025)

RETRACTION: Multi‐classification of Brain Tumor by Using Deep Convolutional Neural Network Model in Magnetic Resonance Imaging Images
Pubblicazione: (2026)

A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans
di: Jinka Sreedhar, et al.
Pubblicazione: (2024)

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