Fr. 69.00

Medical Image Understanding and Analysis - 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

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.

List of 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.

Product details

Assisted by Ke Chen (Editor), Brya M Williams (Editor), Bryan M Williams (Editor), Brya Williams (Editor), Bryan Williams (Editor), Bryan M. Williams (Editor), Yalin Zheng (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2020
 
EAN 9783030393427
ISBN 978-3-0-3039342-7
No. of pages 507
Dimensions 155 mm x 30 mm x 234 mm
Weight 785 g
Illustrations XV, 507 p. 220 illus., 164 illus. in color.
Series Communications in Computer and Information Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.