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...
Main Authors: | Daniele La Forgia, Annarita Fanizzi, Francesco Campobasso, Roberto Bellotti, Vittorio Didonna, Vito Lorusso, Marco Moschetta, Raffaella Massafra, Pasquale Tamborra, Sabina Tangaro, Michele Telegrafo, Maria Irene Pastena, Alfredo Zito |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/10/9/708 |
Similar Items
-
Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images
by: Raffaella Massafra, et al.
Published: (2021-04-01) -
A Proposal of Quantum-Inspired Machine Learning for Medical Purposes: An Application Case
by: Domenico Pomarico, et al.
Published: (2021-02-01) -
A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results
by: Raffaella Massafra, et al.
Published: (2021-03-01) -
A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients
by: Samantha Bove, et al.
Published: (2022-05-01) -
A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence
by: Nicola Amoroso, et al.
Published: (2021-05-01)