CT colonography: Advanced computer-aided detection scheme utilizing MTANNs for detection of “missed” polyps in a multicenter clinical trial

Purpose: The purpose of this study was to develop an advanced computer-aided detection (CAD) scheme utilizing massive-training artificial neural networks (MTANNs) to allow detection of “difficult” polyps in CT colonography (CTC) and to evaluate its performance on false-negative (FN) CTC cases that r...

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Bibliographic Details
Main Authors: Suzuki, Kenji, Rockey, Don C., Dachman, Abraham H.
Format: Artigo
Language:Inglês
Published: American Association of Physicists in Medicine 2010
Subjects:
Radiation Imaging Physics
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2801730/
https://ncbi.nlm.nih.gov/pubmed/20175461
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3263615
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