TY  - JOUR
AU  - Gómez López, Ober Van
AU  - López Herraiz, Joaquín
AU  - Udías Moinelo, José Manuel
AU  - Haug, Alexander
AU  - Papp, Laszlo
AU  - Cioni, Dania
AU  - Neri, Emanuele
PY  - 2022
DO  - 10.3390/cancers14122922
SN  - 2072-6694
UR  - https://hdl.handle.net/20.500.14352/72966
T2  - Cancers
AB  - Simple Summary Breast cancer is a leading cause of morbidity and mortality worldwide. The metastatic disease is largely responsible for cancer patient deaths, and its treatment implies usually different therapies. In this context, the prediction of...
LA  - eng
PB  - MDPI
KW  - Diagnosis
TI  - Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [F-18]F-FDG PET/CT Radiomic Features for Metabolic Response Prediction of Metastatic Breast Cancer Lesions
TY  - journal article
VL  - 14
ER  -