Data Augmentation, Labelling, and Imperfections [electronic resource] : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / edited by Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu.
Contributor(s): Xue, Yuan [editor.]
| Chen, Chen [editor.] | Chen, Chao [editor.] | Zuo, Lianrui [editor.] | Liu, Yihao [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 14379Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: X, 168 p. 55 illus., 50 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031581717.Subject(s): Image processing -- Digital techniques | Computer vision | Artificial intelligence | Computers | Computer Imaging, Vision, Pattern Recognition and Graphics | Artificial Intelligence | Computing MilieuxAdditional 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 LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 16 full papers together in this volume were carefully reviewed and selected from 23 submissions. The conference fosters a collaborative environment for addressing the critical challenges associated with medical data, particularly focusing on data, labeling, and dealing with data imperfections in the context of medical image analysis.
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