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Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation

Automated computer-aided detection (CADe) in medical imaging has been an important tool in clinical practice and research. State-of-the-art methods often show high sensitivities but at the cost of high false-positives (FP) per patient rates. We design a two-tiered coarse-to-fine cascade framework th...

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Bibliografiske detaljer
Udgivet i:IEEE Trans Med Imaging
Main Authors: Roth, Holger R., Lu, Le, Liu, Jiamin, Yao, Jianhua, Seff, Ari, Cherry, Kevin, Kim, Lauren, Summers, Ronald M.
Format: Artigo
Sprog:Inglês
Udgivet: 2015
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7340334/
https://ncbi.nlm.nih.gov/pubmed/26441412
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2015.2482920
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