Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Mathematical and Computational Oncology : 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
| Mathematical and Computational Oncology : 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 |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIII, 99 p. 117 illus., 26 illus. in color.) |
| Disciplina |
006.6
006.37 616.9940015118 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| 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 |
| ISBN | 3-030-35210-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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). |
| Record Nr. | UNINA-9910357846803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical Oncology 2013 / / edited by Alberto d'Onofrio, Alberto Gandolfi
| Mathematical Oncology 2013 / / edited by Alberto d'Onofrio, Alberto Gandolfi |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014 |
| Descrizione fisica | 1 online resource (336 p.) |
| Disciplina | 616.9940015118 |
| Collana | Modeling and Simulation in Science, Engineering and Technology |
| Soggetto topico |
Biomathematics
Cancer research Biophysics Biological physics Physiological, Cellular and Medical Topics Cancer Research Biological and Medical Physics, Biophysics |
| ISBN | 1-4939-0458-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Cancer Onset and Early Growth -- Modeling spatial effects in carcinogenesis: stochastic and deterministic reaction-diffusion -- Conservation law in cancer modeling -- Avascular tumor growth modeling: physical insight in skin cancer -- Part II: Tumor and Inter-Cellular Interactions -- A cell population model structured by cell age incorporating cell-cell adhesion -- A general framework for multiscale modeling of tumor–immune system interactions -- The power of the tumor microenvironment: a systemic approach for a systemic disease -- Part III: Anti-Tumor Therapies -- Modeling immune-mediated tumor growth and treatment -- Hybrid multiscale approach in cancer modelling and treatment prediction -- Deterministic mathematical modelling for cancer chronotherapeutics: cell population dynamics and treatment optimization -- Tumor Microenvironment and Anticancer Therapies: An Optimal Control Approach. |
| Record Nr. | UNINA-9910299988503321 |
| New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||