Mathematical and Computational Oncology  First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019, Proceedings /  [electronic resource] : 
edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima. 
 - 1st ed. 2019. 
 - XXIII, 99 p. 117 illus., 26 illus. in color.  online resource. 
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  11826  3004-9954 ; .
 - Image Processing, Computer Vision, Pattern Recognition, and Graphics,  11826 .
<br/><br/>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). 
<br/><br/> 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). 
<br/><br/><label>ISBN: </label>9783030352103 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-35210-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer vision.<br/>Software engineering.<br/>Artificial intelligence.<br/>Computer science--Mathematics.<br/>Mathematical statistics.<br/>Computer Vision.<br/>Software Engineering.<br/>Artificial Intelligence.<br/>Probability and Statistics in Computer Science.
<br/><br/><label>LC Class. No.: </label>TA1634 
<br/><br/><label>Dewey Class. No.: </label>006.37