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Breast Imaging

13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Anders Tingberg

    1. Lund Univ. and Skåne University Hospital, Sweden

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  2. Kristina Lång

    1. Lund Univ. and Unilabs, Malmö, Sweden

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  3. Pontus Timberg

    1. Lund Univ. and Skåne University Hospital, Malmö, Sweden

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9699)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: IWDM 2016.

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About this book

This book constitutes the refereed proceedings of the 13th International Workshop on Breast Imaging, IWDM 2016, held in Malmö, Sweden, in June 2016.

The 35 revised full papers and 50 revised poster papers presented together with 6 invited talks were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on screening; CAD; mammography, tomosynthesis, and breast CT; novel technology; density assessment and tissue analysis; dose and classification; image processing, CAD, breast density, and new technology; contrast-enhanced imaging; phase contrast breast imaging; simulations and virtual clinical trials.

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Table of contents (84 papers)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Screening

    1. Front Matter

      Pages 1-1
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    2. Agreement Between Radiologists’ Interpretations of Screening Mammograms

      • Robert M. Nishikawa, Christopher E. Comstock, Michael N. Linver, Gillian M. Newstead, Vinay Sandhir, Robert A. Schmidt
      Pages 3-10

    3. Quality Control of Breast Tomosynthesis for a Screening Trial: Preliminary Experience

      • Aili Maki, James Mainprize, Gordon Mawdsley, Martin Yaffe
      Pages 11-19

    4. Summary of Outcomes from Consecutive Years of Tomosynthesis Screening at an American Academic Institution

      • Emily F. Conant, Andrew Oustimov, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Andrew D. A. Maidment et al.
      Pages 20-24

  3. CAD

    1. Front Matter

      Pages 25-25
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    2. LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms

      • Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
      Pages 27-34

    3. Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks

      • Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer
      Pages 35-42

    4. Similar Image Retrieval of Breast Masses on Ultrasonography Using Subjective Data and Multidimensional Scaling

      • Chisako Muramatsu, Tetsuya Takahashi, Takako Morita, Tokiko Endo, Hiroshi Fujita
      Pages 43-50

    5. A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography

      • Thijs Kooi, Albert Gubern-Merida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur et al.
      Pages 51-56

  4. Mammography, Tomosynthesis and Breast CT

    1. Front Matter

      Pages 57-57
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    2. Diagnostic Usefulness of Synthetic MMG (SMMG) with DBT (Digital Breast Tomosynthesis) for Clinical Setting in Breast Cancer Screening

      • Nachiko Uchiyama, Mari Kikuchi, Minoru Machida, Yasuaki Arai, Ryusuke Murakami, Kyoichi Otsuka et al.
      Pages 59-67

    3. Development of Digital Phantom for Digital Mammography with Soft-Copy Reading

      • Norimitsu Shinohara, Katsuhei Horita, Tokiko Endo
      Pages 68-74

    4. Improving the Quality of Optimisation Studies Undertaken in Mammography and General Radiology Using High Level Blended Teaching

      • Alistair Mackenzie, Kenneth C. Young, Saartje Creten, Nelis Van Peteghem, Hilde Bosmans
      Pages 75-82

    5. Simplified Method for FROC Observer Study to Evaluate the Diagnostic Accuracy of a Digital Breast Imaging System by Using a CDMAM Phantom

      • Rie Tanaka, Fujiyo Akita, Daisuke Fukuoka, Yusuke Bamba, Junji Shiraishi
      Pages 83-88

    6. Equivocal Breast Findings Are Reduced with Digital Tomosynthesis

      • Maram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard, Patrick C. Brennan
      Pages 89-97

    7. The Accuracy of an Estimating Method for the Mammary Gland Composition in the Mammography Using the CdTe-Series Photon Counting Detector

      • Ai Nakajima, Misa Kato, Chizuru Okamoto, Akiko Ihori, Tsutomu Yamakawa, Shuichiro Yamamoto et al.
      Pages 98-106

    8. Towards Optimization of Image Quality as a Function of Breast Thickness in Mammography: An Investigation of the Breast Thickness Compensation Schemes on Analogue and Digital Mammography Units

      • Lesley J. Grattan, Adam Workman
      Pages 107-115

    9. Lower Recall Rates Reduced Readers’ Sensitivity in Screening Mammography

      • Norhashimah Mohd Norsuddin, Claudia Mello-Thoms, Warren Reed, Patrick C. Brennan, Sarah Lewis
      Pages 116-121

    10. Simulation of Positron Emission Mammography Imaging with Pixelated CdTe.

      • Machiel Kolstein, Mokhtar Chmeissani
      Pages 122-129
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Other volumes

  1. Breast Imaging

Editors and Affiliations

  • Lund Univ. and Skåne University Hospital, Sweden

    Anders Tingberg

  • Lund Univ. and Unilabs, Malmö, Sweden

    Kristina Lång

  • Lund Univ. and Skåne University Hospital, Malmö, Sweden

    Pontus Timberg

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