Clinical Report: Enhanced Detection of Breast Lesions in Ultrasound Imaging

Overview

This study presents a framework for breast lesion detection in ultrasound images, utilizing a Dual-Stream Mamba Aggregation (DSMA) module and a Structure-aware Axial Attention (SAA) module.

Background

Breast cancer is a leading cause of cancer diagnoses among women, making early detection crucial for effective treatment. Ultrasound imaging is commonly used for breast evaluation but faces challenges such as noise and low contrast, which can hinder accurate lesion detection.

Data Highlights

Key Findings

• The proposed framework integrates DSMA and SAA modules for improved feature representation.
• Competitive detection performance was achieved on the BUV and WH-BUS datasets.
• The method maintains a lightweight structure with only 2.50M parameters.
• Robustness and visualization analyses demonstrated the complementary benefits of the proposed modules.
• Detection performance is enhanced while keeping computational overhead low.

Clinical Implications

This framework addresses limitations of existing methods in breast ultrasound imaging.

Conclusion

The study introduces a framework that models contextual and structural features for breast lesion detection in ultrasound images.

Related Resources & Content

1. DIGITAL HEALTH, SAGE Journals, 2021 -- Breast lesion identification using feature fusion and multiresolution dual-tree complex wavelet transform
2. npj Digital Medicine, Nature, 2026 -- Anatomy-guided visual prompt tuning for cross-modal breast cancer understanding
3. European Radiology, Springer, 2023 -- Detection of Contrast-Enhanced Breast Lesions in Rapid Screening MRI Utilizing Deep Learning Techniques
4. Screening for Breast Cancer: US Preventive Services Task Force Recommendation Statement, JAMA Network, 2024
5. ESR Essentials: screening for breast cancer - general recommendations by EUSOBI, European Radiology, 2024
6. Frontiers in Digital Health — Explainable AI in breast cancer ultrasound imaging: current developments and challenges
7. Screening for Breast Cancer: US Preventive Services Task Force Recommendation Statement | Breast Cancer | JAMA | JAMA Network
8. ESR Essentials: screening for breast cancer - general recommendations by EUSOBI | European Radiology | Springer Nature Link
9. ACR Appropriateness Criteria® Supplemental Breast Cancer Screening Based on Breast Density: 2024 Update - PubMed
10. Supplemental imaging modalities for breast cancer screening in women with dense breasts: A systematic review with economic considerations - ScienceDirect
11. Deep learning-based computer-aided detection of ultrasound in breast cancer diagnosis: A systematic review and meta-analysis - ScienceDirect
12. Clinical application of novel mobile AI solution for real-time detection and differential diagnosis in breast ultrasound: The first prospective feasibility study. | Journal of Clinical Oncology