1 option
Medical Image Understanding and Analysis : 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings / edited by Yalin Zheng, Bryan M. Williams, Ke Chen.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Communications in computer and information science 1865-0929 ; 1065.
- Communications in Computer and Information Science, 1865-0929 ; 1065
- Language:
- English
- Subjects (All):
- Optical data processing.
- Machine learning.
- Pattern perception.
- Bioinformatics.
- Image Processing and Computer Vision.
- Machine Learning.
- Pattern Recognition.
- Computational Biology/Bioinformatics.
- Local Subjects:
- Image Processing and Computer Vision.
- Machine Learning.
- Pattern Recognition.
- Computational Biology/Bioinformatics.
- Physical Description:
- 1 online resource (XV, 507 pages) : 220 illustrations, 164 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019. The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters.
- Contents:
- Oncology and Tumour Imaging
- Lesion, Wound and Ulcer Analysis
- Biostatistics
- Fetal Imaging
- Enhancement and Reconstruction
- Diagnosis, Classication and Treatment
- Vessel and Nerve Analysis
- Image Registration
- Image Segmentation
- Ophthalmic Imaging
- Posters.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-39343-4
- 9783030393434
- 9783030393427
- 9783030393441
- Access Restriction:
- Restricted for use by site license.
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