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Medical image understanding and analysis : 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.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 12722. | LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.Publication details: Cham, Switzerland : Springer, 2021.Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030804329
  • 3030804321
Other title:
  • MIUA 2021
Subject(s): Genre/Form: Additional physical formats: Print version:: Medical image understanding and analysis.DDC classification:
  • 616.07/54 23
LOC classification:
  • RC78.7.D53
Online resources:
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.
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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

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.

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.

Includes author index.

Online resource; title from PDF title page (SpringerLink, viewed July 21, 2021).

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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