Name
Title | ||
|---|---|---|
Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images |
Abstract | ||
|---|---|---|
Cell or nucleus detection is a fundamental task in microscopy image analysis and has recently achieved state-of-the-art performance by using deep neural networks. However, training supervised deep models such as convolutional neural networks (CNNs) usually requires sufficient annotated image data, which is prohibitively expensive or unavailable in some applications. Additionally, when applying a C... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2020.3042789 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Microscopy,Image segmentation,Training,Adaptation models,Task analysis,Annotations,Data models | Journal | 40 |
Issue | ISSN | Citations |
10 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fuyong Xing | 1 | 378 | 29.02 |
| Toby C Cornish | 2 | 0 | 0.68 |
| Tellen D. Bennett | 3 | 0 | 1.35 |
| Debashis Ghosh | 4 | 496 | 49.16 |