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Titlebook: Medical Image Understanding and Analysis; 23rd Conference, MIU Yalin Zheng,Bryan M. Williams,Ke Chen Conference proceedings 2020 Springer N

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书目名称Medical Image Understanding and Analysis
副标题23rd Conference, MIU
编辑Yalin Zheng,Bryan M. Williams,Ke Chen
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Medical Image Understanding and Analysis; 23rd Conference, MIU Yalin Zheng,Bryan M. Williams,Ke Chen Conference proceedings 2020 Springer N
描述.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..
出版日期Conference proceedings 2020
关键词artificial intelligence; bioinformatics; computer systems; computer vision; image analysis; image process
版次1
doihttps://doi.org/10.1007/978-3-030-39343-4
isbn_softcover978-3-030-39342-7
isbn_ebook978-3-030-39343-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Richard Droste,Yifan Cai,Harshita Sharma,Pierre Chatelain,Aris T. Papageorghiou,J. Alison Nobleenzkranken Patienten.Übersichtlicher und gut strukturierter .Das Krankheitsbild Demenz ist nicht neu. Aufgrund der kontinuierlich ansteigenden Lebenserwartung betrifft es jedoch nicht mehr nur die anderen. Demenz passt exakt in die Definition der Weltgesundheitsorganisation (WHO) von 2002 über Krank
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A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammogre detection accuracy and reduce false positive (FP) numbers, two scales of sub-images are considered for detecting varied sized MCs, and different processing algorithms are used on them. The main contributions of this research work include: use of multifractal analysis based methods to analyze mammo
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Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networksr register of the wound’s state at different evolution stages, which allows a better overview of the healing progress and efficiency of the therapeutics being applied. However, image quality and adequacy has to be ensured for proper clinical analysis, being its utility greatly reduced if the image i
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Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment –ly is of paramount importance. Hyperspectral imaging has been used lately to complete this task, since it has the ability to extract data about the wound itself and surrounding tissues. The classification of hyperspectral data remains, however, one of the most popular subjects in the hyperspectral i
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