A Hybrid Model for Ultrasound Image-Based Breast Cancer Diagnosis Using EfficientNet-V2 and Vision Transformer

Overall, this study proposes a method for the improved diagnostic and computational analysis, suggesting the proposed architecture to be a potential framework for use in the contemporary clinical environments.

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Publication Details

Journal
Diagnostics
Published
2026-04-15
DOI
https://doi.org/10.3390/diagnostics16081176
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00

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article

A Hybrid Model for Ultrasound Image-Based Breast Cancer Diagnosis Using EfficientNet-V2 and Vision Transformer

Asraf Mohamed Moubark, Amel Tuama Alhussainy, Ihsan Salman Jasim, Zainab Qahtan Mohammed
Diagnostics
AI in cancer detection
article

A Hybrid Model for Ultrasound Image-Based Breast Cancer Diagnosis Using EfficientNet-V2 and Vision Transformer

Asraf Mohamed Moubark, Amel Tuama Alhussainy, Ihsan Salman Jasim, Zainab Qahtan Mohammed
article en

Abstract

Overall, this study proposes a method for the improved diagnostic and computational analysis, suggesting the proposed architecture to be a potential framework for use in the contemporary clinical environments.

DiagnosticsVol. 16(8)
Northern Technical University (IQ), University of Diyala (IQ), National University of Malaysia (MY)
Ministry of Higher Education, Malaysia, Universiti Kebangsaan Malaysia
Good health and well-being
Openalex Percentile: Top 22%
AI in cancer detection
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