TY  - GEN
N2  - This book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis.
DO  - 10.1007/978-3-031-17266-3
DO  - doi
AB  - This book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis.
T1  - Computational mathematics modeling in cancer analysis :first international workshop, CMMCA 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings /
AU  - Qin, Wenjian,
AU  - Zaki, Nazar,
AU  - Zhang, Fa
AU  - Wu, Jia,
AU  - Yang, Fan,
VL  - 13574
CN  - RC270.3.D53
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1449882
KW  - Cancer
KW  - Cancer
SN  - 9783031172663
SN  - 3031172663
TI  - Computational mathematics modeling in cancer analysis :first international workshop, CMMCA 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17266-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17266-3
ER  -