PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS
|
2003年
/
2652卷
关键词:
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
We present a new associative neural network design especially indicated for the early detection of malignant lesions in breast cancer screening. It is a BAM in which we have made some changes to the functioning of its neurons, and for which we have developed an automatic selection algorithm for the prototypes used to calculate the thresholds of the neurons conforming the input layer. The result is a structure that, while considerably reduced, is highly effective in identifying the images that indicate the presence of malignant tumours in screening for breast cancer. We endowed the network with a special pre-processing stage for the treatment of this kind of radiographic image. This pre-processing yields a more detailed analysis of possible signs of tumours.
机构:
Arizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USAArizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USA
Rauf, Femina
Anderson, Karen S.
论文数: 0引用数: 0
h-index: 0
机构:
Arizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USAArizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USA
Anderson, Karen S.
LaBaer, Joshua
论文数: 0引用数: 0
h-index: 0
机构:
Arizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USAArizona State Univ, Biodesign Inst, Virginia G Piper Biodesign Ctr Personalized Diagn, Tempe, AZ 85287 USA