Radiomics in breast cancer classification and prediction

A Conti, A Duggento, I Indovina, M Guerrisi… - Seminars in cancer …, 2021 - Elsevier
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …

Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives

KJ Geras, RM Mann, L Moy - Radiology, 2019 - pubs.rsna.org
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …

[HTML][HTML] Overview of radiomics in breast cancer diagnosis and prognostication

AS Tagliafico, M Piana, D Schenone, R Lai… - The Breast, 2020 - Elsevier
Diagnosis of early invasive breast cancer relies on radiology and clinical evaluation,
supplemented by biopsy confirmation. At least three issues burden this approach: a) …

Overview of artificial intelligence in breast cancer medical imaging

D Zheng, X He, J Jing - Journal of Clinical Medicine, 2023 - mdpi.com
The heavy global burden and mortality of breast cancer emphasize the importance of early
diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice …

How radiomics can improve breast cancer diagnosis and treatment

F Pesapane, P De Marco, A Rapino… - Journal of Clinical …, 2023 - mdpi.com
Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome

D La Forgia, A Fanizzi, F Campobasso, R Bellotti… - Diagnostics, 2020 - mdpi.com
Contrast-Enhanced Spectral Mammography (CESM) is a recently introduced
mammographic method with characteristics particularly suitable for breast cancer radiomic …

[HTML][HTML] Radiomics in breast imaging from techniques to clinical applications: a review

SH Lee, H Park, ES Ko - Korean journal of radiology, 2020 - ncbi.nlm.nih.gov
Recent advances in computer technology have generated a new area of research known as
radiomics. Radiomics is defined as the high throughput extraction and analysis of …

A new challenge for radiologists: radiomics in breast cancer

P Crivelli, RE Ledda, N Parascandolo… - BioMed research …, 2018 - Wiley Online Library
Introduction. Over the last decade, the field of medical imaging experienced an exponential
growth, leading to the development of radiomics, with which innumerable quantitative …

Recent radiomics advancements in breast cancer: lessons and pitfalls for the next future

F Pesapane, A Rotili, GM Agazzi, F Botta, S Raimondi… - Current …, 2021 - mdpi.com
Radiomics is an emerging translational field of medicine based on the extraction of high-
dimensional data from radiological images, with the purpose to reach reliable models to be …

Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis

J Son, SE Lee, EK Kim, S Kim - Scientific reports, 2020 - nature.com
We aimed to predict molecular subtypes of breast cancer using radiomics signatures
extracted from synthetic mammography reconstructed from digital breast tomosynthesis …