Data Augmentation, Labelling, and Imperfections -

Data Augmentation, Labelling, and Imperfections

Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings
Buch | Softcover
X, 168 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-58170-0 (ISBN)
53,49 inkl. MwSt

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo X, 168 p. 55 illus., 50 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Bioinformatics • color image processing • color images • Computer systems • computer vision • Deep learning • Digital image • Image Analysis • image matching • Image Processing • Image Quality • Image Segmentation • machine learning • Medical Images • Neural networks • pattern recognition • reference image • segmentation methods
ISBN-10 3-031-58170-9 / 3031581709
ISBN-13 978-3-031-58170-0 / 9783031581700
Zustand Neuware
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