Literature DB >> 17386998

Current status and future directions of computer-aided diagnosis in mammography.

Robert M Nishikawa1.   

Abstract

The concept of computer-aided detection (CADe) was introduced more than 50 years ago; however, only in the last 20 years there have been serious and successful attempts at developing CADe for mammography. CADe schemes have high sensitivity, but poor specificity compared to radiologists. CADe has been shown to help radiologists find more cancers both in observer studies and in clinical evaluations. Clinically, CADe increases the number of cancers detected by approximately 10%, which is comparable to double reading by two radiologists.

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Year:  2007        PMID: 17386998     DOI: 10.1016/j.compmedimag.2007.02.009

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  38 in total

1.  An interactive system for computer-aided diagnosis of breast masses.

Authors:  Xingwei Wang; Lihua Li; Wei Liu; Weidong Xu; Dror Lederman; Bin Zheng
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

2.  Retrieval boosted computer-aided diagnosis of clustered microcalcifications for breast cancer.

Authors:  Hao Jing; Yongyi Yang; Robert M Nishikawa
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

3.  Automated detection of mass lesions in dedicated breast CT: a preliminary study.

Authors:  I Reiser; R M Nishikawa; M L Giger; J M Boone; K K Lindfors; K Yang
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

4.  Automated segmentation of hepatic vessels in non-contrast X-ray CT images.

Authors:  Suguru Kawajiri; Xiangrong Zhou; Xuejun Zhang; Takeshi Hara; Hiroshi Fujita; Ryujiro Yokoyama; Hiroshi Kondo; Masayuki Kanematsu; Hiroaki Hoshi
Journal:  Radiol Phys Technol       Date:  2008-07-01

5.  Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model.

Authors:  Juan Wang; Robert M Nishikawa; Yongyi Yang
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

6.  Optimization of reference library used in content-based medical image retrieval scheme.

Authors:  Sang Cheol Park; Rahul Sukthankar; Lily Mummert; Mahadev Satyanarayanan; Bin Zheng
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

Review 7.  Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM.

Authors:  Maryellen L Giger; Heang-Ping Chan; John Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Comparative performance analysis of state-of-the-art classification algorithms applied to lung tissue categorization.

Authors:  Adrien Depeursinge; Jimison Iavindrasana; Asmâa Hidki; Gilles Cohen; Antoine Geissbuhler; Alexandra Platon; Pierre-Alexandre Poletti; Henning Müller
Journal:  J Digit Imaging       Date:  2008-11-04       Impact factor: 4.056

9.  A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology.

Authors:  Yuchen Qiu; Shiju Yan; Rohith Reddy Gundreddy; Yunzhi Wang; Samuel Cheng; Hong Liu; Bin Zheng
Journal:  J Xray Sci Technol       Date:  2017       Impact factor: 1.535

10.  Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset.

Authors:  Hui Li; Maryellen L Giger; Yading Yuan; Weijie Chen; Karla Horsch; Li Lan; Andrew R Jamieson; Charlene A Sennett; Sanaz A Jansen
Journal:  Acad Radiol       Date:  2008-11       Impact factor: 3.173

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