Literature DB >> 1631192

Human visual perception and ROC methodology in medical imaging.

M S Chesters1.   

Abstract

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Year:  1992        PMID： 1631192     DOI： 10.1088/0031-9155/37/7/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN： 0031-9155            Impact factor:   3.609


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  8 in total

1.  Why and how is soft copy reading possible in clinical practice?

Authors:  T Mertelmeier
Journal:  J Digit Imaging       Date:  1999-02       Impact factor: 4.056

2.  Analysis of observer performance in unknown-location tasks for tomographic image reconstruction.

Authors:  Anastasia Yendiki; Jeffrey A Fessler
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2007-12       Impact factor: 2.129

Review 3.  Task-based measures of image quality and their relation to radiation dose and patient risk.

Authors:  Harrison H Barrett; Kyle J Myers; Christoph Hoeschen; Matthew A Kupinski; Mark P Little
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

4.  Optimum tomographic reconstruction parameters for HMPAO brain SPET imaging: a practical approach based on subjective and objective indexes.

Authors:  P O Kotzki; D Mariano-Goulart; M Quiquere; F Lyonnet; M Zanca; M Rossi
Journal:  Eur J Nucl Med       Date:  1995-07

5.  Contrast, noise, and blur affect performance and appreciation of digital radiographs.

Authors:  I M van Overveld
Journal:  J Digit Imaging       Date:  1995-11       Impact factor: 4.056

6.  Model observers for assessment of image quality.

Authors:  H H Barrett; J Yao; J P Rolland; K J Myers
Journal:  Proc Natl Acad Sci U S A       Date:  1993-11-01       Impact factor: 11.205

7.  Comparison between human and model observer performance in low-contrast detection tasks in CT images: application to images reconstructed with filtered back projection and iterative algorithms.

Authors:  I Hernandez-Giron; A Calzado; J Geleijns; R M S Joemai; W J H Veldkamp
Journal:  Br J Radiol       Date:  2014-05-19       Impact factor: 3.039

8.  Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study.

Authors:  Su Min Ha; Hak Hee Kim; Eunhee Kang; Bo Kyoung Seo; Nami Choi; Tae Hee Kim; You Jin Ku; Jong Chul Ye
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-12-11
  8 in total

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