Name
Title | ||
|---|---|---|
Computer-aided Diagnosis of Peritonitis Using Two-Stream Attention Deep Convolutional Network |
Abstract | ||
|---|---|---|
Cine magnetic resonance imaging (MRI) analysis methods are used to evaluate intestinal peristalsis. However, the evaluation of intestinal peristalsis by MRI is subjective, time consuming, and non-reproducible, which are recognized as a critical issue that needs to be resolved. In our previous work, we used deep optical flow network (DOFN) to extract temporal-spatial features of intestinal movement... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LifeTech53646.2022.9754910 | 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech) |
Keywords | DocType | ISBN |
Magnetic resonance imaging,Conferences,Streaming media,Feature extraction,Life sciences,Computer aided diagnosis,Data mining | Conference | 978-1-6654-1904-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toshiki Kawahara | 1 | 0 | 0.68 |
| Akitoshi Inoue | 2 | 0 | 0.34 |
| Yutaro Iwamoto | 3 | 0 | 1.01 |
| Bolorkhand Batsaikhan | 4 | 0 | 0.34 |
| Syohei Chatani | 5 | 0 | 0.34 |
| Akira Furukawa | 6 | 0 | 1.01 |
| Yen-Wei Chen | 7 | 720 | 155.73 |