Medical Image Understanding and Analysis 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings /
Medical Image Understanding and Analysis 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings / [electronic resource] :
edited by Yalin Zheng, Bryan M. Williams, Ke Chen.
- 1st ed. 2020.
- XV, 507 p. 220 illus., 164 illus. in color. online resource.
- Communications in Computer and Information Science, 1065 1865-0937 ; .
- Communications in Computer and Information Science, 1065 .
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.
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.
9783030393434
10.1007/978-3-030-39343-4 doi
Computer vision.
Machine learning.
Pattern recognition systems.
Bioinformatics.
Computer Vision.
Machine Learning.
Automated Pattern Recognition.
Computational and Systems Biology.
TA1634
006.37
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.
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.
9783030393434
10.1007/978-3-030-39343-4 doi
Computer vision.
Machine learning.
Pattern recognition systems.
Bioinformatics.
Computer Vision.
Machine Learning.
Automated Pattern Recognition.
Computational and Systems Biology.
TA1634
006.37