Computational Mathematics Modeling in Cancer Analysis

Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li (Herausgeber)

Buch | Softcover

X, 172 Seiten

2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-45086-0 (ISBN)

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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.

Erscheinungsdatum	11.10.2023
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	X, 172 p. 55 illus., 52 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	288 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Schlagworte	Cancer imaging analysis • Computer-aided tumor detection • Computer Science • Computing Methodologies • Deep learning • machine learning • mathematics modeling • Multi-modality • tumor microenvironment
ISBN-10	3-031-45086-8 / 3031450868
ISBN-13	978-3-031-45086-0 / 9783031450860
Zustand	Neuware