Simplifying Medical Ultrasound [electronic resource] : 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 14337Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XIII, 206 p. 81 illus., 75 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031445217

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006 23

LOC classification:

TA1501-1820
TA1634

Online resources:

Click here to access online

Contents:

Advanced Imaging, Segmentation, and Ultrasound Techniques -- Predictive Analysis, Learning, and Classification -- Multimodal Imaging, Reconstruction, and Real-time Applications -- Diagnostic Enhancements and Novel Ultrasound Innovations.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations.

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This book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations.

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