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Proceedings Paper

Recognition of lymph node metastasis malignancy tumor cells based on the multilayer error back-propagation (BP) neural network
Author(s): Ling Kong; Chunping Liu; Peihua Shen; Deshen Xia
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Paper Abstract

In the paper, one multi-layer BP neural network is applied to identify metastasis malignancy tumor cells in lymph node puncture image. The topology structure of the network is as following: the node number of input-layer is 9, which involves morphologic features and chroma information; the node number of first hide-layer and second hide-layer is defined respectively as 8 and 12; the node number of output-layer is 3, which is the category number of recognized objects. Experimental results show that the learning performance of multi-layer BP neural network is good, comparing with three-layer BP neural network, the recognition rate is improved, and the method can be as an assistant means to recognize lymph node metastasis malignancy tumor cells.

Paper Details

Date Published: 20 September 2001
PDF: 8 pages
Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441673
Show Author Affiliations
Ling Kong, Nanjing Univ. of Science and Technology (China)
Chunping Liu, Nanjing Univ. of Science and Technology (China)
Peihua Shen, Nanjing Univ. of Science and Technology (China)
Deshen Xia, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4555:
Neural Network and Distributed Processing

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