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Volumn 35, Issue 1, 1994, Pages 7-15
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Neural-network classification of normal and Alzheimer's disease subjects using high-resolution and low-resolution PET cameras
a
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Author keywords
Alzheimer's disease; fluorodeoxyglucose; neural network
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Indexed keywords
FLUORODEOXYGLUCOSE;
ADULT;
AGED;
ALZHEIMER DISEASE;
ARTICLE;
BRAIN METABOLISM;
CONTROLLED STUDY;
DATA BASE;
DISEASE CLASSIFICATION;
FEMALE;
HUMAN;
HUMAN TISSUE;
MAJOR CLINICAL STUDY;
MALE;
NERVE CELL NETWORK;
PARIETAL LOBE;
POSITRON EMISSION TOMOGRAPHY;
PRIORITY JOURNAL;
SIGNAL NOISE RATIO;
TEMPORAL LOBE;
AGED;
AGED, 80 AND OVER;
ALZHEIMER DISEASE;
BRAIN;
CONTRAST MEDIA;
DEOXYGLUCOSE;
DIAGNOSIS, COMPUTER-ASSISTED;
DIAGNOSIS, DIFFERENTIAL;
FALSE POSITIVE REACTIONS;
FEMALE;
FLUDEOXYGLUCOSE F 18;
GAMMA CAMERAS;
HUMAN;
MALE;
MIDDLE AGE;
NEURAL NETWORKS (COMPUTER);
ROC CURVE;
SUPPORT, NON-U.S. GOV'T;
TOMOGRAPHY, EMISSION-COMPUTED;
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EID: 0028127877
PISSN: 01615505
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (43)
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References (0)
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