Cargando…
Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome
Contrast-Enhanced Spectral Mammography (CESM) is a recently introduced mammographic method with characteristics particularly suitable for breast cancer radiomic analysis. This work aims to evaluate radiomic features for predicting histological outcome and two cancer molecular subtypes, namely Human...
Autores principales: | La Forgia, Daniele, Fanizzi, Annarita, Campobasso, Francesco, Bellotti, Roberto, Didonna, Vittorio, Lorusso, Vito, Moschetta, Marco, Massafra, Raffaella, Tamborra, Pasquale, Tangaro, Sabina, Telegrafo, Michele, Pastena, Maria Irene, Zito, Alfredo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7555402/ https://www.ncbi.nlm.nih.gov/pubmed/32957690 http://dx.doi.org/10.3390/diagnostics10090708 |
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 Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images
por: Massafra, Raffaella, et al.
Publicado: (2021) -
Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images
por: Fanizzi, Annarita, et al.
Publicado: (2019) -
A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results
por: Massafra, Raffaella, et al.
Publicado: (2021) -
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
por: Bove, Samantha, et al.
Publicado: (2022)