Name
Title | ||
|---|---|---|
Pathological Brain Detection via Wavelet Packet Tsallis Entropy and Real-Coded Biogeography-based Optimization. |
Abstract | ||
|---|---|---|
(Aim) In order to detect pathological brains in a more efficient way, (Method) we proposed a novel system of pathological brain detection (PBD) that combined wavelet packet Tsallis entropy (WPTE), feedforward neural network (FNN), and real-coded biogeography-based optimization (RCBBO). (Results) The experiments showed the proposed WPTE + FNN + RCBBO approach yielded an average accuracy of 99.49% over a 255-image dataset. (Conclusions) The WPTE + FNN + RCBBO performed better than 10 state-of-the-art approaches. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3233/FI-2017-1492 | FUNDAMENTA INFORMATICAE |
Keywords | Field | DocType |
pathological brain detection,feed-forward neural network,wavelet packet Tsallis entropy,real-coded biogeography-based optimization | Feedforward neural network,Pattern recognition,Network packet,Tsallis entropy,Artificial intelligence,Biogeography-based optimization,Mathematics,Wavelet | Journal |
Volume | Issue | ISSN |
151 | 1-4 | 0169-2968 |
Citations | PageRank | References |
16 | 0.70 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuihua Wang | 1 | 1564 | 87.49 |
| Peng Li | 2 | 59 | 10.17 |
| Peng Chen | 3 | 55 | 5.99 |
| Preetha Phillips | 4 | 645 | 24.57 |
| ge liu | 5 | 34 | 4.76 |
| Sidan Du | 6 | 314 | 31.20 |
| yudong zhang | 7 | 1334 | 90.44 |