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Medical Image Understanding and Analysis [electronic resource] : 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1065Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XV, 507 p. 220 illus., 164 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030393434
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.37 23
LOC classification:
  • TA1634
Online resources:
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.
In: Springer Nature eBookSummary: 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.
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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.

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