國立虎尾科技大學 |

Mathematical and Computational Oncology = Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical and Computational Oncology/ edited by George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie.
其他題名:	Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings /
其他作者:	Bebis, George.
面頁冊數:	XXI, 79 p. 33 illus., 31 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer vision. -
電子資源:	https://doi.org/10.1007/978-3-030-91241-3
ISBN:	9783030912413

Mathematical and Computational Oncology = Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings /
Mathematical and Computational OncologyThird International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings /[electronic resource] :edited by George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie. - 1st ed. 2021. - XXI, 79 p. 33 illus., 31 illus. in color.online resource. - Lecture Notes in Bioinformatics,130602366-6331 ;. - Lecture Notes in Bioinformatics,12881.

Statistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life – an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.

This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.

ISBN: 9783030912413

Standard No.: 10.1007/978-3-030-91241-3doiSubjects--Topical Terms:

561800
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Mathematical and Computational Oncology = Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings /
LDR:03165nam a22004095i 4500 001 1059486
003 DE-He213
005 20220222162350.0
007 cr nn 008mamaa
008 220414s2021 sz | s |||| 0|eng d
020 $a 9783030912413 $9 978-3-030-91241-3
024 7 $a 10.1007/978-3-030-91241-3 $2 doi
035 $a 978-3-030-91241-3
050 4 $a TA1634
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.37 $2 23
245 1 0 $a Mathematical and Computational Oncology $h [electronic resource] : $b Third International Symposium, ISMCO 2021, Virtual Event, October 11–13, 2021, Proceedings / $c edited by George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXI, 79 p. 33 illus., 31 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 Lecture Notes in Bioinformatics, $x 2366-6331 ; $v 13060
505 0 $a Statistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life – an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.
520 $a This book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
650 0 $a Computer vision. $3 561800
650 0 $a Computer engineering. $3 569006
650 0 $a Computer networks . $3 1365720
650 1 4 $a Computer Vision. $3 1127422
650 2 4 $a Computer Engineering and Networks. $3 1365733
700 1 $a Bebis, George. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 675989
700 1 $a Gaasterland, Terry. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363190
700 1 $a Kato, Mamoru. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363191
700 1 $a Kohandel, Mohammad. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363192
700 1 $a Wilkie, Kathleen. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1363193
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030912406
776 0 8 $i Printed edition: $z 9783030912420
830 0 $a Lecture Notes in Bioinformatics, $x 2366-6331 ; $v 12881 $3 1365722
856 4 0 $u https://doi.org/10.1007/978-3-030-91241-3
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)