Breast cancer detection from ultrasound computed tomography imaging using radiomic analysis: in silico trial

Our in silico experimental results demonstrate the feasibility of using USCT for breast lesion detection using fully automatic analysis of reconstructed SOS images. The multimodal approach, that combines radio-density and acoustic properties of the breast, outperforms the analysis using a single modality.

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Publication Details

Journal
Medical Physics
Published
2025-02-28
DOI
https://doi.org/10.1002/mp.17710
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
4.08
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article

Breast cancer detection from ultrasound computed tomography imaging using radiomic analysis: in silico trial

Andrés Vargas, Said Pertuz, Nicole Hernandez, Ana B. Ramirez
3 citations
Medical Physics
Radiomics and Machine Learning in Medical Imaging
4.08
article

Breast cancer detection from ultrasound computed tomography imaging using radiomic analysis: in silico trial

Andrés Vargas, Said Pertuz, Nicole Hernandez, Ana B. Ramirez
article en
3 citations

Abstract

Our in silico experimental results demonstrate the feasibility of using USCT for breast lesion detection using fully automatic analysis of reconstructed SOS images. The multimodal approach, that combines radio-density and acoustic properties of the breast, outperforms the analysis using a single modality.

Medical PhysicsVol. 52(4)
Universidad Industrial de Santander (CO), Tampere University Hospital (FI), Tampere University (FI)
Openalex Percentile: Top 7%
Radiomics and Machine Learning in Medical Imaging
4.08
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