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Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography

A major challenge in the current computer-aided detection (CAD) of polyps in CT colonography (CTC) is to reduce the number of false-positive (FP) detections while maintaining a high sensitivity level. A pattern-recognition technique based on the use of an artificial neural network (ANN) as a filter,...

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Bibliografski detalji
Izdano u:IEEE Trans Med Imaging
Glavni autori: Suzuki, Kenji, Zhang, Jun, Xu, Jianwu
Format: Artigo
Jezik:Inglês
Izdano: 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4283824/
https://ncbi.nlm.nih.gov/pubmed/20570766
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2010.2053213
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