Image Analysis and Recognition
16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part II
Published on 3. August 2019
Book
Paperback/Softback
XXII, 487 pages
978-3-030-27271-5 (ISBN)
Description
This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and Recognition, ICIAR 2019, held in Waterloo, ON, Canada, in August 2019.
The 58 full papers presented together with 24 short and 2 poster papers were carefully reviewed and selected from 142 submissions. The papers are organized in the following topical sections: Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
42 s/w Abbildungen, 169 farbige Abbildungen
XXII, 487 p. 211 illus., 169 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 28 mm
Weight
768 gr
ISBN-13
978-3-030-27271-5 (9783030272715)
DOI
10.1007/978-3-030-27272-2
Schweitzer Classification
Other editions
Additional editions
Fakhri Karray | Aurélio Campilho | Alfred Yu
Image Analysis and Recognition
16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27-29, 2019, Proceedings, Part II
E-Book
08/2019
Springer
€78.10
Available for download
Content
Image Processing; Image Analysis; Signal Processing Techniques for Ultrasound Tissue Characterization and Imaging in Complex Biological Media; Advances in Deep Learning; Deep Learning on the Edge; Recognition; Applications; Medical Imaging and Analysis Using Deep Learning and Machine Intelligence; Image Analysis and Recognition for Automotive Industry; Adaptive Methods for Ultrasound Beamforming and Motion Estimation.