Name
Title | ||
|---|---|---|
Regularize Network Skip Connections by Gating Mechanisms for Electron Microscopy Image Segmentation |
Abstract | ||
|---|---|---|
Recently, one earliest skip connected networks named Lmser was revisited and its convolutional layer based version named CLmser was proposed. This paper studies CLmser for segmentation (shortly CLmser-S) of Electron Microscopy (EM) images and also one further development. First, we experimentally show that CLmser-S outperforms the popular U-Net and save many free parameters. Second, we combine one newest formulation named Flexible Lmser (F-Lmser) and CLmser-S into a version called F-CLmser-S, together with learned masks replacing the similarity based one used in F-Lmser for implementing fast-lane skip connections. Experimental results on the ISBI 2012 EM dataset show that F-CLmser-S improves CLmser and achieves competitive performance with state-of-the-art results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICME.2019.00154 | 2019 IEEE International Conference on Multimedia and Expo (ICME) |
Keywords | Field | DocType |
electron microscopy,image segmentation,flexible Lmser,CLmser,gated skip connections | Computer vision,Logic gate,Gating,Pattern recognition,Task analysis,Segmentation,Computer science,Image segmentation,Artificial intelligence,Decoding methods,Free parameter | Conference |
ISSN | ISBN | Citations |
1945-7871 | 978-1-5386-9553-1 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuze Guo | 1 | 0 | 0.34 |
| Wenjing Huang | 2 | 0 | 0.68 |
| Yajing Chen | 3 | 0 | 1.35 |
| Shikui Tu | 4 | 39 | 14.25 |