Using a spatiotemporal neural network on dynamic gadolinium-enhanced MR images for diagnosing recurrent nasal papilloma

IEEE Transactions on Nuclear Science

Volumn 49, Issue 1 I, 2002, Pages 225-238

  Chang, Chuan Yu ^b,c   Chung, Pau Choo ^a,b   Lai, Ping Hong ^d  

^a IEEE   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c SHU TE UNIVERSITY   (Taiwan)

^d KAOHSIUNG VETERANS GENERAL HOSPITAL   (Taiwan)

Author keywords

Gadolinium enhanced magnetic resonance imaging (MRI); Nasal papilloma (NP); Receiver operating characteristic (ROC) curves; Spatiotemporal neural network (STNN)

Indexed keywords

FIBROSIS; RECEIVER OPERATING CHARACTERISTIC CURVE; RECURRENT NASAL PAPILLOMA; SPATIOTEMPORAL NEURAL NETWORK;

DIAGNOSIS; DISEASES; GADOLINIUM; NEURAL NETWORKS; TUMORS;

MAGNETIC RESONANCE IMAGING;

EID: 0036464423     PISSN: 00189499     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNS.2002.998756     Document Type: Article

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