IRIS

Skin Lesions Classification: A Radiomics Approach with Deep CNN / Piantadosi, G.; Bovenzi, G.; Argenziano, G.; Moscarella, E.; Parmeggiani, D.; Docimo, L.; Sansone, C.. - 11808:(2019), pp. 252-259. (Intervento presentato al convegno 2nd International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st International Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st International Workshop eHealth in the Big Data and Deep Learning Era, e-BADLE 2019, International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019 tenutosi a ita nel 2019) [10.1007/978-3-030-30754-7_26].

Skin Lesions Classification: A Radiomics Approach with Deep CNN

Bovenzi G.;Sansone C.
2019
2019
978-3-030-30753-0
978-3-030-30754-7
Skin Lesions Classification: A Radiomics Approach with Deep CNN / Piantadosi, G.; Bovenzi, G.; Argenziano, G.; Moscarella, E.; Parmeggiani, D.; Docimo, L.; Sansone, C.. - 11808:(2019), pp. 252-259. (Intervento presentato al convegno 2nd International Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st International Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st International Workshop eHealth in the Big Data and Deep Learning Era, e-BADLE 2019, International Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th International Conference on Image Analysis and Processing, ICIAP 2019 tenutosi a ita nel 2019) [10.1007/978-3-030-30754-7_26].
4.1 Articoli in Atti di convegno
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/765033
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact