Makale detayı · 2002
Edge displacement field based classification for improved detection of polyps in CT colonography
- Yıl
- 2002
- Tür
- article
Veri kaynağı ayrımı
- YÖKSİS YÖKSİS makale kaydı
- YÖKSİS dergi adı IEEE Transactions on Medical Imaging
- Katalog eşleşmesi (ISSN) IEEE Transactions on Medical Imaging
- OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)
Özet
OpenAlex · İngilizce
Colorectal cancer can easily be prevented provided that the precursors to tumors, small colonic polyps, are detected and removed. Currently, the only definitive examination of the colon is fiber-optic colonoscopy, which is invasive and expensive. Computed tomographic colonography (CTC) is potentially a less costly and less invasive alternative to FOC. It would be desirable to have computer-aided detection (CAD) algorithms to examine the large amount of data CTC provides. Most current CAD algorithms have high false positive rates at the required sensitivity levels. We developed and evaluated a postprocessing algorithm to decrease the false positive rate of such a CAD method without sacrificing sensitivity. Our method attempts to model the way a radiologist recognizes a polyp while scrolling a cross-sectional plane through three-dimensional computed tomography data by classification of the changes in the location of the edges in the two-dimensional plane. We performed a tenfold cross-validation study to assess its performance using sensitivity/specificity analysis on data from 48 patients. The mean specificity over all experiments increased from 0.19 (0.35) to 0.47 (0.56) for a sensitivity of 1.00 (0.95).
Konular
Atıflar
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88 atıf
OpenAlex cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 8 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- Surface Normal Overlap A Computer Aided Detection Algorithm With Application to Colonic Polyps and Lung Nodules in Helical CT 2004
- Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography Pilot study 2004
- Polyp Enhancing Level Set Evolution of Colon Wall Method and Pilot Study 2007
- Using Optical Flow Fields for Polyp Detection in Virtual Colonoscopy 2001
- Automatic Detection of Pulmonary Embolism in CTA Images Using Machine Learning 2017
- A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans 2017
- HDF Heat diffusion fields for polyp detection in CT colonography 2007
- Heat Diffusion Based Detection Of Colonic Polyps In Ct Colonography 2005