Literature DB >> 8657872

Image processing and computer-aided diagnosis.

M Giger1, H MacMahon.   

Abstract

The future of image processing and CAD in diagnostic radiology is more promising now than ever, with increasingly impressive results being reported from various observer performance studies in both mammography and chest radiography. Clinical trials in years to come will help optimize the accuracy of the programs and determine the actual contribution of CAD to the interpretation process. Radiologists using output from computer analyses of images, however, will still make the final decision regarding diagnosis and patient management. Nonetheless, studies have indicated that the computer output need not have greater overall accuracy than a given radiologist in order to improve his or her performance. A systematic and gradual introduction of CAD into radiology departments will be necessary so that radiologists can become familiar with the strengths and weaknesses of each CAD program, thereby avoiding either excessive reliance or a dismissive attitude toward the computer output. This should ensure the acceptance of CAD and optimal diagnostic performance by the radiologist. Thus, an appropriate role for each CAD program will be determined for each radiologist, according to his or her individual training and observational skills, reducing intraobserver variations and improving diagnostic performance.

Entities:  

Mesh:

Year:  1996        PMID: 8657872

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  7 in total

1.  Contrast enhancement in dense breast images to aid clustered microcalcifications detection.

Authors:  Fátima L S Nunes; Homero Schiabel; Claudio E Goes
Journal:  J Digit Imaging       Date:  2007-03       Impact factor: 4.056

Review 2.  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

3.  Biplane correlation imaging: a feasibility study based on phantom and human data.

Authors:  Ehsan Samei; Nariman Majdi-Nasab; James T Dobbins; H Page McAdams
Journal:  J Digit Imaging       Date:  2012-02       Impact factor: 4.056

Review 4.  Computer-aided detection and automated CT volumetry of pulmonary nodules.

Authors:  Katharina Marten; Christoph Engelke
Journal:  Eur Radiol       Date:  2006-09-20       Impact factor: 5.315

5.  Quad-phased data mining modeling for dementia diagnosis.

Authors:  Sunjoo Bang; Sangjoon Son; Hyunwoong Roh; Jihye Lee; Sungyun Bae; Kyungwon Lee; Changhyung Hong; Hyunjung Shin
Journal:  BMC Med Inform Decis Mak       Date:  2017-05-18       Impact factor: 2.796

6.  Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs.

Authors:  Sivaramakrishnan Rajaraman; Sema Candemir; Incheol Kim; George Thoma; Sameer Antani
Journal:  Appl Sci (Basel)       Date:  2018-09-20       Impact factor: 2.679

7.  AI driven feature extraction model for chest cavity spectrum signal visualization.

Authors:  Haitao Niu; Jihua Gu
Journal:  Int J Speech Technol       Date:  2021-04-30
  7 in total

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