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[null,"1.","Record Nr.",null,"UNINA990008424700403321"]
[null,null,"Autore",null,"Kotter, Bonifatius <1912-1987>"]
[null,null,"Titolo",null,"Die Überlieferung der Pege Gnoseos des Hl. Johannes von Damaskos / P. Bonifaz Kotter"]
[null,null,"Pubbl/distr/stampa",null,"Ettal : Buch-Kunstverlag, 1959"]
[null,null,"Descrizione fisica",null,"VIII, 243 p. ; 25 cm"]
[null,null,"Collana",null,"Studia Patristica et Byzantina ; 5"]
[null,null,"Disciplina",null,"880.9"]
[null,null,"Locazione",null,"FLFBC"]
[null,null,"Collocazione",null,"P2B-630-JOHANN.D.-8K.B.-1959"]
[{"$nulls":4},"P2B-630-JOHANN.D.-8K.B.-1959 bis"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISALENTO991003157529707536"]
[null,null,"Autore",null,"Grosseteste, Robert <1175?-1253>"]
[null,null,"Titolo",null,"The Greek commentaries on the Nicomachean ethics of Aristotle / In the Latin translation of Robert Grosseteste, Bishop of Lincoln (1253) ; critical ed. with an introductory study by H. Paul F. Mercken"]
[null,null,"Pubbl/distr/stampa",null,"Leiden : Brill, 1973-"]
[null,null,"Descrizione fisica",null,"v. ; 26 cm."]
[null,null,"Collana",null,"Corpus Latinum commentariorum in Aristotelem Graecorum ; 6"]
[null,null,"Disciplina",null,"180"]
[null,null,"Soggetti",null,"Aristotele - Etica Nicomachea"]
[{"$nulls":4},"Etica - Grecia antica"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Contiene riferimenti bibliografici"]
[null,null,"Nota di contenuto",null,"v. 1.: Eustratius on Book I and the anonymous scholia on Books II, III, and IV"]
[{"$nulls":4},"v. 3.: The anonymus commentator on book VII Aspasius on Book VIII and Michael  of Ephesus on books IX and X"]
[null,"3.","Record Nr.",null,"UNINA9910557353503321"]
[null,null,"Autore",null,"Rundo Leonardo"]
[null,null,"Titolo",null,"Advanced Computational Methods for Oncological Image Analysis"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (262 p.)"]
[null,null,"Soggetti",null,"Medicine and Nursing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","[Cancer is the second most common cause of death worldwide and encompasses highly variable clinical and biological scenarios. Some of the current clinical challenges are (i) early diagnosis of the disease and (ii) precision medicine, which allows for treatments targeted to specific clinical cases. The ultimate goal is to optimize the clinical workflow by combining accurate diagnosis with the most suitable therapies. Toward this, large-scale machine learning research can define associations among clinical, imaging, and multi-omics studies, making it possible to provide reliable diagnostic and prognostic biomarkers for precision oncology.   Such reliable computer-assisted methods (i.e., artificial intelligence) together with clinicians' unique knowledge can be used to properly handle typical issues in evaluation/quantification procedures (i.e., operator dependence and time-consuming tasks). These technical advances can significantly improve result repeatability in disease diagnosis and guide toward appropriate cancer care. Indeed, the need to apply machine learning and computational intelligence techniques has steadily increased to effectively perform image processing operations-such as segmentation, co-registration, classification, and dimensionality reduction-and multi-omics data integration.]"]