Advanced Brain Tumor Segmentation Using EMCAD: Efficient Multi-scale Convolutional Attention Decoding
Fuente:
arXiv
Saved in:
| Main Authors: | Uzor, GodsGift, Eneye, Tania-Amanda Nkoyo Fredrick, Ijezue, Chukwuebuka |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024)
by: Rahman, Md Mostafijur, et al.
Published: (2024)
Classification of Hope in Textual Data using Transformer-Based Models
by: Ijezue, Chukwuebuka Fortunate, et al.
Published: (2025)
by: Ijezue, Chukwuebuka Fortunate, et al.
Published: (2025)
Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
by: Uzor, GodsGift, et al.
Published: (2025)
by: Uzor, GodsGift, et al.
Published: (2025)
Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset
by: Beebe, Michael, et al.
Published: (2026)
by: Beebe, Michael, et al.
Published: (2026)
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
by: Hassan, Riad, et al.
Published: (2025)
by: Hassan, Riad, et al.
Published: (2025)
Efficient Brain Tumor Segmentation Using a Dual-Decoder 3D U-Net with Attention Gates (DDUNet)
by: Pajouh, Mohammad Mahdi Danesh
Published: (2025)
by: Pajouh, Mohammad Mahdi Danesh
Published: (2025)
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
by: Behzadpour, Majid, et al.
Published: (2025)
by: Behzadpour, Majid, et al.
Published: (2025)
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)
by: Alwadee, Ebtihal J., et al.
Published: (2024)
SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
by: Olisah, Chollette C., et al.
Published: (2024)
by: Olisah, Chollette C., et al.
Published: (2024)
A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
by: Wang, Ruoxin, et al.
Published: (2024)
by: Wang, Ruoxin, et al.
Published: (2024)
An Explainable AI-Driven Framework for Automated Brain Tumor Segmentation Using an Attention-Enhanced U-Net
by: Islam, MD Rashidul, et al.
Published: (2026)
by: Islam, MD Rashidul, et al.
Published: (2026)
Assessment of Using Synthetic Data in Brain Tumor Segmentation
by: Jahagirdar, Aditi, et al.
Published: (2025)
by: Jahagirdar, Aditi, et al.
Published: (2025)
ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages
by: Qian, Zhoujie
Published: (2025)
by: Qian, Zhoujie
Published: (2025)
Multi-Layer Dense Attention Decoder for Polyp Segmentation
by: Patel, Krushi, et al.
Published: (2024)
by: Patel, Krushi, et al.
Published: (2024)
LinkedIn Profile Characteristics and Professional Success Indicators
by: Eneye, Tania-Amanda Fredrick, et al.
Published: (2025)
by: Eneye, Tania-Amanda Fredrick, et al.
Published: (2025)
Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
by: Ahadian, Pegah, et al.
Published: (2024)
by: Ahadian, Pegah, et al.
Published: (2024)
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)
by: Maani, Fadillah, et al.
Published: (2024)
Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation
by: Liu, Hong, et al.
Published: (2026)
by: Liu, Hong, et al.
Published: (2026)
DRBD-Mamba for Robust and Efficient Brain Tumor Segmentation with Analytical Insights
by: Ali, Danish, et al.
Published: (2025)
by: Ali, Danish, et al.
Published: (2025)
Hyper-Connections for Adaptive Multi-Modal MRI Brain Tumor Segmentation
by: Kumar, Lokendra, et al.
Published: (2026)
by: Kumar, Lokendra, et al.
Published: (2026)
UKAN-EP: Enhancing U-KAN with Efficient Attention and Pyramid Aggregation for 3D Multi-Modal MRI Brain Tumor Segmentation
by: Chen, Yanbing, et al.
Published: (2024)
by: Chen, Yanbing, et al.
Published: (2024)
SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation
by: Maqsood, Hasaan, et al.
Published: (2026)
by: Maqsood, Hasaan, et al.
Published: (2026)
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
by: Xu, Jing, et al.
Published: (2022)
by: Xu, Jing, et al.
Published: (2022)
SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale Convolutions and Multiview Attention Mechanisms
by: Liu, Xuesong, et al.
Published: (2025)
by: Liu, Xuesong, et al.
Published: (2025)
On-the-Fly Data Augmentation for Brain Tumor Segmentation
by: Jain, Ishika, et al.
Published: (2025)
by: Jain, Ishika, et al.
Published: (2025)
EfficientGFormer: Multimodal Brain Tumor Segmentation via Pruned Graph-Augmented Transformer
by: Ziaeetabar, Fatemeh
Published: (2025)
by: Ziaeetabar, Fatemeh
Published: (2025)
Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment
by: Schaffer, T., et al.
Published: (2026)
by: Schaffer, T., et al.
Published: (2026)
Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)
by: Zhang, Peng, et al.
Published: (2023)
MHMamba: Multi-Head Mamba for 3D Brain Tumor Segmentation
by: Tao, Hanjun, et al.
Published: (2026)
by: Tao, Hanjun, et al.
Published: (2026)
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
by: Huang, Zhongzhen, et al.
Published: (2024)
by: Huang, Zhongzhen, et al.
Published: (2024)
Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
by: Mistry, Sahaj K., et al.
Published: (2024)
by: Mistry, Sahaj K., et al.
Published: (2024)
Decoder-Free Supervoxel GNN for Accurate Brain-Tumor Localization in Multi-Modal MRI
by: Protani, Andrea, et al.
Published: (2026)
by: Protani, Andrea, et al.
Published: (2026)
A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
by: Díaz-Pernas, Francisco Javier, et al.
Published: (2024)
by: Díaz-Pernas, Francisco Javier, et al.
Published: (2024)
MACMD: Multi-dilated Contextual Attention and Channel Mixer Decoding for Medical Image Segmentation
by: Maurya, Lalit, et al.
Published: (2025)
by: Maurya, Lalit, et al.
Published: (2025)
FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
by: Wu, Linshan, et al.
Published: (2024)
by: Wu, Linshan, et al.
Published: (2024)
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)
by: Zhou, Ruojun, et al.
Published: (2024)
Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training
by: Pandya, Adwaitt, et al.
Published: (2026)
by: Pandya, Adwaitt, et al.
Published: (2026)
Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation
by: Yang, Kaixiang, et al.
Published: (2024)
by: Yang, Kaixiang, et al.
Published: (2024)
Sub-Region-Aware Modality Fusion and Adaptive Prompting for Multi-Modal Brain Tumor Segmentation
by: Alijani, Shadi, et al.
Published: (2026)
by: Alijani, Shadi, et al.
Published: (2026)
Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation
by: Chung, Tien-Dat, et al.
Published: (2025)
by: Chung, Tien-Dat, et al.
Published: (2025)
Similar Items
-
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
by: Rahman, Md Mostafijur, et al.
Published: (2024) -
Classification of Hope in Textual Data using Transformer-Based Models
by: Ijezue, Chukwuebuka Fortunate, et al.
Published: (2025) -
Guarding Your Conversations: Privacy Gatekeepers for Secure Interactions with Cloud-Based AI Models
by: Uzor, GodsGift, et al.
Published: (2025) -
Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset
by: Beebe, Michael, et al.
Published: (2026) -
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
by: Hassan, Riad, et al.
Published: (2025)