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Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11–13, 2017, Proceedings: Communications in Computer and Information Science, cartea 723

Editat de María Valdés Hernández, Víctor González-Castro
en Limba Engleză Paperback – 23 iun 2017
This book constitutes the refereed proceedings of the 21st Annual Conference on Medical Image Understanding and Analysis, MIUA 2017, held in Edinburgh, UK, in July 2017.
The 82 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on retinal imaging, ultrasound imaging, cardiovascular imaging, oncology imaging, mammography image analysis, image enhancement and alignment, modeling and segmentation of preclinical, body and histological imaging, feature detection and classification.

The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.

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Specificații

ISBN-13: 9783319609638
ISBN-10: 3319609637
Pagini: 937
Ilustrații: XIX, 950 p. 421 illus.
Dimensiuni: 155 x 235 x 55 mm
Greutate: 1.33 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Retinal Imaging.- Ultrasound Imaging.- Cardiovascular Imaging.- Oncology Imaging.- Mammography Image Analysis.- Image Enhancement and Alignment.- Modeling and Segmentation of Preclinical, Body and Histological Imaging.- Feature Detection and Classification.

Textul de pe ultima copertă

The chapters 'Model-Based Correction of Segmentation Errors in Digitised Histological Images' and 'Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering' are open access under a CC BY 4.0 license.

Caracteristici

Includes supplementary material: sn.pub/extras