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| Titolo: |
Mathematical and Computational Oncology [[electronic resource] ] : First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings / / edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (XXIII, 99 p. 117 illus., 26 illus. in color.) |
| Disciplina: | 006.6 |
| 006.37 | |
| Soggetto topico: | Optical data processing |
| Software engineering | |
| Artificial intelligence | |
| Mathematical statistics | |
| Image Processing and Computer Vision | |
| Software Engineering | |
| Artificial Intelligence | |
| Probability and Statistics in Computer Science | |
| Persona (resp. second.): | BebisGeorge |
| BenosTakis | |
| ChenKen | |
| JahnKatharina | |
| LimaErnesto | |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Special Track: Tumor evolvability and intra-tumor heterogeneity -- Imaging and scientific visualization for cancer research -- Statistical methods and data mining for cancer research (SMDM) -- Spatio-temporal tumor modeling and simulation (STTMS). |
| Sommario/riassunto: | This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019. The 7 full papers presented were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS). |
| Titolo autorizzato: | Mathematical and computational oncology ![]() |
| ISBN: | 3-030-35210-2 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 996466278903316 |
| Lo trovi qui: | Univ. di Salerno |
| Opac: | Controlla la disponibilità qui |