Article

Efficient Boundary-Aware Multi-Scale Feature Fusion for Medical Image Segmentation

2025-11-12

Abstract excerpt

Accurate medical image segmentation plays a crucial role in clinical diagnosis and treatment planning. Yet, existing U-Net variants often fail to effectively capture both fine anatomical details and global contextual relationships while maintaining efficiency. To overcome these challenges, we propose EB-MSF-UNet, an Efficient Boundary-aware Multi-Scale Feature Fusion U-Net that integrates global reasoning with loc...

Topics

Open a Topic to create a Post that cites this publication.

Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work: 88b90510-eb63-5099-862c-1386370bd54e
DOI: 10.20944/preprints202511.0918.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Efficient Boundary-Aware Multi-Scale Feature Fusion for Medical Image SegmentationDOI 10.20944/preprints202511.0918.v1Read

DHR-Net: An Ultra-Lightweight U-Net Based on Efficient Convolutional Attention for Medical Image SegmentationSemantic proximity Read

ADG-Net: A Lightweight Adaptive Deformable Convolution Network with Gradient-Optimized Pooling for Medical Image SegmentationSemantic proximity Read

CMM-Net: Contextual Multi-Scale Multi-Level Network for Efficient Biomedical Image SegmentationSemantic proximity Read

DefA-Net: A Multi-Scale Deformable Attention Based MRI Image Segmentation NetworkSemantic proximity Read

A Decade of Deep Learning-based Biomedical Image SegmentationSemantic proximity Read

UMSSNet: A Unified Multi-Scale SegmentationNetwork for Heterogeneous Medical ImagesSemantic proximity Read

Design of U-Net Architectures for Medical Image Segmentation using AI/ML ModelSemantic proximity Read

Multi-Level Attention and Boundary Refinement Network for Polyp SegmentationSemantic proximity Read

Dual-Encoder Network Optimization for Binary Semantic Segmentation of Focal Liver Lesions (FLLs)Semantic proximity Read

UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRISemantic proximity Read

BEGA-UNet: Boundary-Explicit Guided Attention U-Net with Multi-Scale Feature Aggregation for Colonoscopic Polyp SegmentationSemantic proximity Read

MDD-Net: Medical Segmentation with Parallel Denoising TransformationSemantic proximity Read