Data

Images of the olfactory bulb of 18 month old mice

Griffith University
Dr Adrian Meedeniya (Managed by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://experts.griffith.edu.au/individual/nab0236446b90d187878802a05e5b53aa&rft.title=Images of the olfactory bulb of 18 month old mice&rft.identifier=http://experts.griffith.edu.au/individual/nab0236446b90d187878802a05e5b53aa&rft.publisher=Griffith University&rft.description=Brain, substantia nigra, olfactory bulb, dopaminergic inter-neurons, multilabelling immunofluorescence, morphometry, segmentation, feature extraction, classification, Neural networks, Support Vector Machines, Back Propagation Neural Networks and Multinomial Logistic Regression.&rft.creator=Anonymous&rft.date=2013&rft_rights=The owner / manager of this data collection may provide access to this data collection by negotiation. You could be required to indicate your intended use of the data, to meet any costs associated with providing you with the data, and to fulfill other terms and conditions as determined by the data owner / manager. Use of the data may also be subject to legal, ethical and commercial restrictions, requiring further permission from other individuals or groups, including ethics committees, project steering groups, and research participants.&rft_subject=EXPANDING KNOWLEDGE&rft_subject=EXPANDING KNOWLEDGE&rft.type=dataset&rft.language=English Access the data
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The owner / manager of this data collection may provide access to this data collection by negotiation. You could be required to indicate your intended use of the data, to meet any costs associated with providing you with the data, and to fulfill other terms and conditions as determined by the data owner / manager. Use of the data may also be subject to legal, ethical and commercial restrictions, requiring further permission from other individuals or groups, including ethics committees, project steering groups, and research participants.

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Brain, substantia nigra, olfactory bulb, dopaminergic inter-neurons, multilabelling immunofluorescence, morphometry, segmentation, feature extraction, classification, Neural networks, Support Vector Machines, Back Propagation Neural Networks and Multinomial Logistic Regression.

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