Computational Mathematics Modeling In Cancer Analysis


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Computational Mathematics Modeling in Cancer Analysis


Computational Mathematics Modeling in Cancer Analysis

Author: Wenjian Qin

language: en

Publisher: Springer Nature

Release Date: 2022-09-22


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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.

Computational Mathematics Modeling in Cancer Analysis


Computational Mathematics Modeling in Cancer Analysis

Author: Jia Wu

language: en

Publisher: Springer Nature

Release Date: 2024-10-04


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This book constitutes the refereed proceedings of Third International Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2024, held in Marrakesh, Morocco, on October 6, 2024, in conjunction with MICCAI 2024. The 12 full papers presented in this book were carefully reviewed and selected from 14 submissions. CMMCA serves as a platform for collaboration among professionals in mathematics, engineering, computer science, and medicine, focusing on innovative mathematical methods for analyzing complex cancer data.

Computational Mathematics Modeling in Cancer Analysis


Computational Mathematics Modeling in Cancer Analysis

Author: Wenjian Qin

language: en

Publisher: Springer Nature

Release Date: 2023-10-07


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This volume LNCS 14243 constitutes the refereed proceedings of the Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, on October 8, 2023, in Vancouver, BC, Canada. The 17 full papers presented were carefully reviewed and selected from 25 submissions. The conference focuses on the discovery of cutting-edge techniques addressing trends and challenges in theoretical, computational, and applied aspects of mathematical cancer data analysis.