A segmentation network for generalized lesion extraction with semantic fusion of transformer with value vector enhancement DOI
Yuefei Wang, Yuanhong Wei, Xi Yu

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 266, P. 126098 - 126098

Published: Dec. 10, 2024

Language: Английский

MLFE‐UNet: Multi‐Level Feature Extraction Transformer‐Based UNet for Gastrointestinal Disease Segmentation DOI
Anass Garbaz, Yassine Oukdach, Said Charfi

et al.

International Journal of Imaging Systems and Technology, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

ABSTRACT Accurately segmenting gastrointestinal (GI) disease regions from Wireless Capsule Endoscopy images is essential for clinical diagnosis and survival prediction. However, challenges arise due to similar intensity distributions, variable lesion shapes, fuzzy boundaries. In this paper, we propose MLFE‐UNet, an advanced fusion of CNN‐based transformers with UNet. Both the encoder decoder utilize a multi‐level feature extraction (MLFA) CNN‐Transformer‐based module. This module extracts features input data, considering both global dependencies local information. Furthermore, introduce spatial attention (MLSA) block that functions as bottleneck. It enhances network's ability handle complex structures overlapping in maps. The MLSA captures multiscale tokens channel perspective transmits them decoding path. A contextual stabilization follows each transition emulate zones facilitate segmentation guidelines at phase. To address high‐level semantic information, incorporate computationally efficient block. followed by skip connections, ensuring interaction highlighting important decoder. evaluate performance our proposed selected common GI diseases, specifically bleeding polyps. dice coefficient scores obtained MLFE‐UNet on MICCAI 2017 (Red lesion) CVC‐ClinicalDB data sets are 92.34% 88.37%, respectively.

Language: Английский

Citations

0
A Feature Enhancement Network Based on Image Partitioning in a Multi-Branch Encoder-Decoder Architecture DOI
Yuefei Wang, Yutong Zhang, Li Zhang

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: 311, P. 113120 - 113120

Published: Feb. 1, 2025

Language: Английский

Citations

0
GSAC-UFormer: Groupwise Self-Attention Convolutional Transformer-Based UNet for Medical Image Segmentation DOI
Anass Garbaz, Yassine Oukdach, Said Charfi

et al.

Cognitive Computation, Journal Year: 2025, Volume and Issue: 17(2)

Published: Feb. 22, 2025

Language: Английский

Citations

0
MLFA-UNet: A Multi-Level Feature Assembly UNet for Medical Image Segmentation DOI
Anass Garbaz, Yassine Oukdach, Said Charfi

et al.

Methods, Journal Year: 2024, Volume and Issue: 232, P. 52 - 64

Published: Oct. 30, 2024

Language: Английский

Citations

2
DMFC-UFormer: Depthwise multi-scale factorized convolution transformer-based UNet for medical image segmentation DOI
Anass Garbaz, Yassine Oukdach, Said Charfi

et al.

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 101, P. 107200 - 107200

Published: Nov. 26, 2024

Language: Английский

Citations

0
A segmentation network for generalized lesion extraction with semantic fusion of transformer with value vector enhancement DOI
Yuefei Wang, Yuanhong Wei, Xi Yu

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 266, P. 126098 - 126098

Published: Dec. 10, 2024

Language: Английский

Citations

0