Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions.
Saved in:
| Title: | Radiomic and Artificial Intelligence Analysis with Textural Metrics, Morphological and Dynamic Perfusion Features Extracted by Dynamic Contrast-Enhanced Magnetic Resonance Imaging in the Classification of Breast Lesions. |
|---|---|
| Authors: | Fusco, Roberta1, r.fusco@istitutotumori.na.it, Piccirillo, Adele2, adelepiccirillo@gmail.com, Sansone, Mario2, msansone@unina.it, Granata, Vincenza1, p.vallone@istitutotumori.na.itv.granata@istitutotumori.na.it, Vallone, Paolo1, m.barretta@istitutotumori.na.it, Barretta, Maria Luisa1, t.petrosino@istitutotumori.na.it, Petrosino, Teresa1, a.petrillo@istitutotumori.na.it, Siani, Claudio3, c.siani@istitutotumori.na.it, Di Giacomo, Raimondo3, r.digiacomo@istitutotumori.na.it, Di Bonito, Maurizio4, m.dibonito@istitutotumori.na.it, Botti, Gerardo5, g.botti@istitutotumori.na.it, Petrillo, Antonella1, La Forgia, Daniele |
| Source: | Applied Sciences (2076-3417); Feb2021, Vol. 11 Issue 4, p1880, 14p |
| Database: | Applied Science & Technology Source |
| ISSN: | 20763417 |
|---|---|
| DOI: | 10.3390/app11041880 |
