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Risk assessment of axillary lymph node metastases in early breast cancer patients using the maximum entropy network

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8 Author(s)
Poh Lian Choong ; Center for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia ; deSilva, J.S. ; Dawkins, H.J.S. ; Robbins, P.
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Describes an artificial neural network (ANN) architecture for constructing maximum entropy (MaxEnt) models based on discrete distributions. Entropy is maximized by a partition function method involving the use of Lagrange multipliers which is capable of implementation by an ANN architecture. The maximum entropy network (MaxEN), consists of a training module and a testing module of interconnected processing elements. The practical use of the MaxEN network is illustrated with an application in the clinical management of early breast cancer patients

Published in:

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Date of Conference:

13-16 Apr 1994