Abstract：
:After two decades of increasing interest and research activity, computer-assisted diagnostic approaches are reaching the stage where more routine deployment in clinical practice is becoming a possibility [Kruppinski, E.A., 2004. Computer-aided detection in clinical environment: Benefits and challenges for radiologists. Radiology 231, 7-9]. This is particularly the case in the analysis of mammographic images [Helvie, M.A., Hadjiiski, L., Makariou, E., Chan, H.P., Petrick, N., Sahiner, B., Lo, S.C., Freedman, M., Adler, D., Bailey, J., Blane, C., Hoff, D., Hunt, K., Joynt, L., Klein, K., Paramagul, C., Patterson, S.K., Roubidoux, M.A., 2004. Sensitivity of noncommercial computer-aided detection system for mammographic breast cancer detection: pilot clinical trial. Radiology 231, 208-214] and in the detection of pulmonary nodules [Reeves, A.P., Kostis, W.J., 2000. Computer-aided diagnosis for lung cancer. Radiol. Clin. North Am. 38, 497-509]. However, similar approaches can be applied more widely with the promise of increasing clinical utility in other areas. We review how computer-aided approaches may be applied in the diagnosis and staging of prostatic cancer. The current status of computer technology is reviewed, covering artificial neural networks for detection and staging, computerised biopsy simulation and computer-assisted analysis of ultrasound and magnetic resonance images.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Zhu Y,Williams S,Zwiggelaar Rdoi
10.1016/j.media.2005.06.003subject
Has Abstractpub_date
2006-04-01 00:00:00pages
178-99issue
2eissn
1361-8415issn
1361-8423pii
S1361-8415(05)00082-4journal_volume
10pub_type
杂志文章,评审abstract：:Accurate digital representation of major white matter bundles in the brain is an important goal in neuroscience image computing since the representations can be used for surgical planning, intra-patient longitudinal analysis and inter-subject population connectivity studies. Reconstructing desired fiber bundles genera...
journal_title：Medical image analysis
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doi：10.1016/j.media.2006.04.002
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2005.03.004
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2018.02.003
更新日期：2018-05-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2003.12.001
更新日期：2004-06-01 00:00:00
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2012.06.009
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journal_title：Medical image analysis
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journal_title：Medical image analysis
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journal_title：Medical image analysis
pub_type： 杂志文章
doi：10.1016/j.media.2009.05.006
更新日期：2009-08-01 00:00:00
