• Nenhum resultado encontrado

Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy

N/A
N/A
Protected

Academic year: 2017

Share "Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy"

Copied!
12
0
0

Texto

Loading

Imagem

Fig. 2 Structure of the simplified PCNN neuron
Fig. 3 shows the results of blood cell images using different methods.
Table 1. Comparison between simplified PCNN and the proposed method  Accuracy, (%)   (nuclear region)  Accuracy, (%)   (cytoplasmic region)  Running  time, (s)  Simplified   PCNN  92.45  87.51  8.2  Proposed   method  94.72  90.65  3.2  Conclusion

Referências

Documentos relacionados

All artificial neural networks used in this work showed high accuracy to estimate the moisture, however, the neural network based on the basic density and drying days was the

Os antirretrovirais indicados para o tratamento pela infecção pelo HIV incluem os inibidores nucleosídeos e nucleotídeos da transcriptase reversa, inibidores não nucleosídeos

[15] presented an efficient method for face detection and eye localization using neural network for color segmentation.. A self-growing probabilistic decision-based neural

Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning

Translocation of NrTP1-RhB into giant multilamellar vesicles (POPC + DPPE- NBD 1%) and Bv173 (pre-B cell leukemia) cell line. Graphs represent fluorescence intensity along

As melhores épocas de plantio para a região fo- ram os meses de fevereiro, março, abril e maio- As menores produções obtidas foram as dos plantios realizados nos meses de

Foram definidas a ferramenta StarUML com extensão Geográfica e Eclipse com o plug-in OMT-G Design, para a modelagem de dados de acordo com o modelo OMT-G e geração do