Recognition of lymph node metastasis malignancy tumor cells based on the multilayer error back-propagation (BP) neural network

Ling Kong; Chunping Liu; Peihua Shen; Deshen Xia

doi:10.1117/12.441673

20 September 2001 Recognition of lymph node metastasis malignancy tumor cells based on the multilayer error back-propagation (BP) neural network

Ling Kong, Chunping Liu, Peihua Shen, Deshen Xia

Author Affiliations +

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441673
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Ling Kong, Chunping Liu, Peihua Shen, and Deshen Xia "Recognition of lymph node metastasis malignancy tumor cells based on the multilayer error back-propagation (BP) neural network", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441673

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available