國立虎尾科技大學 |

Mathematical and Computational Oncology = First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical and Computational Oncology/ edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima.
Reminder of title:	First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings /
other author:	Bebis, George.
Description:	XXIII, 99 p. 117 illus., 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Optical data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-35210-3
ISBN:	9783030352103

Mathematical and Computational Oncology = First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings /
Mathematical and Computational OncologyFirst 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. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

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).

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).

ISBN: 9783030352103

Standard No.: 10.1007/978-3-030-35210-3doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Mathematical and Computational Oncology = First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings /
LDR:02415nam a22004335i 4500 001 1008680
003 DE-He213
005 20200630044746.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030352103 $9 978-3-030-35210-3
024 7 $a 10.1007/978-3-030-35210-3 $2 doi
035 $a 978-3-030-35210-3
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
245 1 0 $a Mathematical and Computational Oncology $h [electronic resource] : $b First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14–16, 2019, Proceedings / $c edited by George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XXIII, 99 p. 117 illus., 26 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 11826
505 0 $a 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).
520 $a 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).
650 0 $a Optical data processing. $3 639187
650 0 $a Software engineering. $3 562952
650 0 $a Artificial intelligence. $3 559380
650 0 $a Mathematical statistics. $3 527941
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Software Engineering. $3 669632
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Probability and Statistics in Computer Science. $3 669886
700 1 $a Bebis, George. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675989
700 1 $a Benos, Takis. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302533
700 1 $a Chen, Ken. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 775744
700 1 $a Jahn, Katharina. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302534
700 1 $a Lima, Ernesto. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1302535
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030352097
776 0 8 $i Printed edition: $z 9783030352110
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-35210-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)