Computational Mathematics Modeling in Cancer Analysis [electronic resource] : Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / edited by Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li.
Contributor(s): Qin, Wenjian [editor.]
| Zaki, Nazar [editor.] | Zhang, Fa [editor.] | Wu, Jia [editor.] | Yang, Fan [editor.] | Li, Chao [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 14243Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: X, 172 p. 55 illus., 52 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031450877.Subject(s): Image processing -- Digital techniques | Computer vision | Computer Imaging, Vision, Pattern Recognition and GraphicsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006 Online resources: Click here to access online
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Springer Nature eBookSummary: 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.
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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.
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