Name
Title | ||
|---|---|---|
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT |
Abstract | ||
|---|---|---|
This article substantially advances upon state-of-the-art to enhance liver vessels segmentation accuracy by leveraging advantages of synthetic PET-CT (SPET-CT) images in addition to computed tomography angiography (CTA) volumes. Our setup makes a hybrid solution of modified generative adversarial network-convolutional autoencoder (GAN-cAED) combining synthetic ability of GAN to deliver SPET-CT ima... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TII.2021.3064369 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Liver,Image segmentation,Computed tomography,Surgery,Generative adversarial networks,Measurement,Informatics | Journal | 17 |
Issue | ISSN | Citations |
12 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Nadeem Cheema | 1 | 1 | 1.36 |
| Anam Nazir | 2 | 1 | 1.36 |
| Po Yang | 3 | 64 | 12.75 |
| Bin Sheng | 4 | 368 | 61.19 |
| Ping Li | 5 | 202 | 40.76 |
| Huating Li | 6 | 22 | 5.14 |
| Xiaoer Wei | 7 | 0 | 0.34 |
| Jing Qin | 8 | 1109 | 95.43 |
| Jinman Kim | 9 | 504 | 65.66 |
| David Dagan Feng | 10 | 3329 | 413.76 |