Application research on YOLOv5 model based on Lightweight Atrous Attention Module in brain tumor MRI image segmentation

The integration of the LAAM significantly enhances the YOLOv5s model's segmentation capabilities for brain tumor MRI images, making it a valuable tool for clinical diagnosis and treatment planning. The lightweight design ensures effective deployment in resource-constrained environments while maintaining high computational performance.

Authors

Chengbin Ye (ORCID: https://orcid.org/0000-0002-5775-2145)
Lanlan Yang
Jinghui Chen (ORCID: https://orcid.org/0000-0001-7903-0541)
Tao Yang (ORCID: https://orcid.org/0000-0003-1440-0390)
Hongjia Zhao (ORCID: https://orcid.org/0000-0003-4899-4772)
Lianxin Xie

Institutions

Fujian University of Traditional Chinese Medicine (CN)

Publication Details

Journal: Frontiers in Medicine
Published: 2025-10-09
DOI: https://doi.org/10.3389/fmed.2025.1660445
Primary Topic: Brain Tumor Detection and Classification
Type: article
Field-Weighted Citation Impact: 0.00

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article

Application research on YOLOv5 model based on Lightweight Atrous Attention Module in brain tumor MRI image segmentation

Chengbin Ye, Lanlan Yang, Jinghui Chen, Tao Yang et al.

Oct 9, 2025

Frontiers in Medicine

Brain Tumor Detection and Classification

article

Application research on YOLOv5 model based on Lightweight Atrous Attention Module in brain tumor MRI image segmentation

Chengbin Ye, Lanlan Yang, Jinghui Chen, Tao Yang, Hongjia Zhao, Lianxin Xie

October 9, 2025article en

Abstract

The integration of the LAAM significantly enhances the YOLOv5s model's segmentation capabilities for brain tumor MRI images, making it a valuable tool for clinical diagnosis and treatment planning. The lightweight design ensures effective deployment in resource-constrained environments while maintaining high computational performance.

Frontiers in MedicineVol. 12

Fujian University of Traditional Chinese Medicine (CN)

Openalex Percentile: Top 65%

Brain Tumor Detection and Classification

DOI Open Access PDF OpenAlex

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Application research on YOLOv5 model based on Lightweight Atrous Attention Module in brain tumor MRI image segmentation — Chengbin Ye, Lanlan Yang, et al. · Frontiers in Medicine (2025) | TGRS Research Map | TGRS