Deep Learning‐Based <scp>CAD</scp> System for Enhanced Breast Lesion Classification and Grading Using <scp>RFTSDP</scp> Approach

We developed a DL-based CAD system capable of classifying and grading breast lesions. This study demonstrates that the proposed system not only enhances classification but also ensures increased stability and robustness compared to traditional methods.

Authors

Ali Fallah (ORCID: https://orcid.org/0000-0001-5078-8391)
Saeid Rashidi (ORCID: https://orcid.org/0000-0003-1075-989X)
Maryam Mehdizadeh Dastjerdi (ORCID: https://orcid.org/0000-0001-7277-2585)
Elaheh Norouzi Ghehi (ORCID: https://orcid.org/0009-0003-4133-623X)

Institutions

Islamic Azad University, Science and Research Branch (IR)
Amirkabir University of Technology (IR)
Islamic Azad University Medical Branch of Tehran (IR)

Publication Details

Journal: Journal of Ultrasound in Medicine
Published: 2025-10-01
DOI: https://doi.org/10.1002/jum.70056
Primary Topic: Ultrasound Imaging and Elastography
Type: article
Field-Weighted Citation Impact: 0.00

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article

Deep Learning‐Based CAD System for Enhanced Breast Lesion Classification and Grading Using RFTSDP Approach

Ali Fallah, Saeid Rashidi, Maryam Mehdizadeh Dastjerdi, Elaheh Norouzi Ghehi

Oct 1, 2025

Journal of Ultrasound in Medicine

Ultrasound Imaging and Elastography

article

Deep Learning‐Based CAD System for Enhanced Breast Lesion Classification and Grading Using RFTSDP Approach

Ali Fallah, Saeid Rashidi, Maryam Mehdizadeh Dastjerdi, Elaheh Norouzi Ghehi

October 1, 2025article en

Abstract

We developed a DL-based CAD system capable of classifying and grading breast lesions. This study demonstrates that the proposed system not only enhances classification but also ensures increased stability and robustness compared to traditional methods.

Journal of Ultrasound in MedicineVol. 45(2)

Islamic Azad University, Science and Research Branch (IR), Amirkabir University of Technology (IR), Islamic Azad University Medical Branch of Tehran (IR)

Openalex Percentile: Top 59%

Ultrasound Imaging and Elastography

DOI Source OpenAlex

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