Copertina

Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Mojtaba Mansouri Nejad, Habib Rostami, Ahmad Keshavarz, Hojat Ghimatgar, Mohamad Saleh Rayani, Leila Gonbadi
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

A Hybrid Deep Learning Approach for Enhanced Classification of Lung Pathologies From Chest X‐Ray
di: Samira Sajed, et al.
Pubblicazione: (2025)

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
di: Jiang, Zhifan, et al.
Pubblicazione: (2024)

Model Ensemble for Brain Tumor Segmentation in Magnetic Resonance Imaging
di: Capellán-Martín, Daniel, et al.
Pubblicazione: (2024)

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)

Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor Segmentation
di: Chen, Dong, et al.
Pubblicazione: (2025)

Magnetic Resonance Elastography of Anterior Mediastinal Tumors
di: Lina Zhou, et al.
Pubblicazione: (2024)

Editorial for “Magnetic Resonance Elastography of Anterior Mediastinal Tumors”
di: James F.M. Meaney
Pubblicazione: (2024)

Segment Anything Model for Brain Tumor Segmentation
di: Zhang, Peng, et al.
Pubblicazione: (2023)

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

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

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
di: Li, Hongwei Bran, et al.
Pubblicazione: (2023)

Enhancing 3D Global and Local Feature Extraction for Pneumonia Multilesion Segmentation
di: Huiyao He, et al.
Pubblicazione: (2025)

The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
di: Kofler, Florian, et al.
Pubblicazione: (2023)

An Ensemble Approach for Brain Tumor Segmentation and Synthesis
di: Rivera, Juampablo E. Heras, et al.
Pubblicazione: (2024)

Degradation-Aware Blur-Segmentation of Brain Tumor
di: Wang, Yuchun, et al.
Pubblicazione: (2026)

Attention-Enhanced Hybrid Feature Aggregation Network for 3D Brain Tumor Segmentation
di: Yazıcı, Ziya Ata, et al.
Pubblicazione: (2024)

Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
di: Nigru, Alemu Sisay, et al.
Pubblicazione: (2025)

Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
di: Kobayashi, Kazuma, et al.
Pubblicazione: (2020)

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
di: Shen, Yiqing, et al.
Pubblicazione: (2024)

Unveiling Incomplete Modality Brain Tumor Segmentation: Leveraging Masked Predicted Auto-Encoder and Divergence Learning
di: Sun, Zhongao, et al.
Pubblicazione: (2024)

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

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

Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
di: Paul, Plabon, et al.
Pubblicazione: (2024)

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
di: Khan, Muhammad Irfan, et al.
Pubblicazione: (2023)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
di: Moawad, Ahmed W., et al.
Pubblicazione: (2023)

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
di: Fateh, Amirreza, et al.
Pubblicazione: (2025)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
di: Fu, Jingru, et al.
Pubblicazione: (2024)

A New Logic For Pediatric Brain Tumor Segmentation
di: Bengtsson, Max, et al.
Pubblicazione: (2024)

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

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

Assessment of Tumor Cell Invasion and Radiotherapy Response in Experimental Glioma by Magnetic Resonance Elastography
di: Hannah Fels‐Palesandro, et al.
Pubblicazione: (2024)

Brain Metabolite Differences in Fetuses With Cytomegalovirus Infection: A Magnetic Resonance Spectroscopy Study
di: Or R. Sadan, et al.
Pubblicazione: (2024)

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

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
di: Ayman, Ahmed
Pubblicazione: (2023)

Enhanced Brain Tumor Segmentation Using CBAM‐Integrated Deep Learning and Area Quantification
di: Rafiqul Islam, et al.
Pubblicazione: (2025)

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
di: Olisah, Chollette C., et al.
Pubblicazione: (2024)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
di: Shao, Minye, et al.
Pubblicazione: (2025)

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

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

Editorial for “Assessment of Tumor Cell Invasion and Radiotherapy Response in Experimental Glioma by Magnetic Resonance Elastography”
di: James R. Ewing
Pubblicazione: (2024)