Medical image understanding and analysis [electronic resource] : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings / Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble (eds.).
2021
RC78.7.D53
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Title
Medical image understanding and analysis [electronic resource] : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings / Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble (eds.).
ISBN
9783030804329 (electronic bk.)
3030804321 (electronic bk.)
3030804313
9783030804312
3030804321 (electronic bk.)
3030804313
9783030804312
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-030-80432-9 doi
Call Number
RC78.7.D53
Dewey Decimal Classification
616.07/54
Summary
This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging.
Note
Includes author index.
Bibliography, etc. Note
References-Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR Images-1 Introduction-2 Methods-2.1 Problem Definition-2.2 Overall Training Loss Function-2.3 Lesion-Level Cost-Sensitive Classification Loss-2.4 Slice-Level Cost-Sensitive Classification Loss-3 Experiments and Evaluation-3.1 Data Set and Implementation Details-3.2 Evaluation Metrics-4 Results-4.1 Adjusting Mis-classification Cost at Lesion-Level-4.2 Adjusting Mis-classification Cost at Slice-Level.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 21, 2021).
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Series
Lecture notes in computer science ; 12722.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Table of Contents
Biomarker detection
Image registration, and reconstruction
Image Segmentation
Generative models, biomedical simulation and modelling
Classification
Image enhancement, quality assessment, and data privacy
Radiomics, predictive models, and quantitative imaging.
Image registration, and reconstruction
Image Segmentation
Generative models, biomedical simulation and modelling
Classification
Image enhancement, quality assessment, and data privacy
Radiomics, predictive models, and quantitative imaging.