Cargando…
Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images
Contrast-Enhanced Spectral Mammography (CESM) is a novelty instrumentation for diagnosing of breast cancer, but it can still be considered operator dependent. In this paper, we proposed a fully automatic system as a diagnostic support tool for the clinicians. For each Region Of Interest (ROI), a fea...
Autores principales: | Fanizzi, Annarita, Losurdo, Liliana, Basile, Teresa Maria A., Bellotti, Roberto, Bottigli, Ubaldo, Delogu, Pasquale, Diacono, Domenico, Didonna, Vittorio, Fausto, Alfonso, Lombardi, Angela, Lorusso, Vito, Massafra, Raffaella, Tangaro, Sabina, La Forgia, Daniele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6616937/ https://www.ncbi.nlm.nih.gov/pubmed/31234363 http://dx.doi.org/10.3390/jcm8060891 |
Ejemplares similares
-
Radiomics Analysis on Contrast-Enhanced Spectral Mammography Images for Breast Cancer Diagnosis: A Pilot Study
por: Losurdo, Liliana, et al.
Publicado: (2019) -
Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome
por: La Forgia, Daniele, et al.
Publicado: (2020) -
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
por: Fanizzi, Annarita, et al.
Publicado: (2020) -
Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images
por: Massafra, Raffaella, et al.
Publicado: (2021) -
A Gradient-Based Approach for Breast DCE-MRI Analysis
por: Losurdo, L., et al.
Publicado: (2018)