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Data augmentation, labelling, and imperfectionsthird MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data augmentation, labelling, and imperfectionsedited by Yuan Xue ... [et al.].
Reminder of title:	third MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings /
remainder title:	DALI 2023
other author:	Xue, Yuan.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 168 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnostic imagingCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-58171-7
ISBN:	9783031581717$q(electronic bk.)

Data augmentation, labelling, and imperfectionsthird MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings /
Data augmentation, labelling, and imperfectionsthird MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings /[electronic resource] :DALI 2023edited by Yuan Xue ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 168 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,143791611-3349 ;. - Lecture notes in computer science ;4891..

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.

ISBN: 9783031581717$q(electronic bk.)

Standard No.: 10.1007/978-3-031-58171-7doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

Data augmentation, labelling, and imperfectionsthird MICCAI Workshop, DALI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023 : proceedings /
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