Name
Title | ||
|---|---|---|
DeepNFT: Towards Precise Neurofibrillary Tangle Detection via Improving Multi-scale Feature Fusion and Adversary |
Abstract | ||
|---|---|---|
Detecting neurofibrillary tangles is an important procedure in the assessment of the intensity and distribution pattern of hippocampal tau pathology, which are the principal clinical phenotypes associated with Alzheimer’s disease. Existing deep learning based detectors still face a critical obstacle: the difficulty in detecting extremely small objects in high resolution images. In this paper, we p... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIBM52615.2021.9669322 | 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Keywords | DocType | ISBN |
Deep learning,Pathology,Image resolution,Conferences,Detectors,Performance gain,Feature extraction | Conference | 978-1-6654-0126-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yankai Jiang | 1 | 0 | 1.01 |
| Lei Zhang | 2 | 0 | 0.34 |
| Yiming Li | 3 | 0 | 0.34 |
| Xiangyang He | 4 | 0 | 0.34 |
| Hanxiao Huang | 5 | 0 | 0.34 |
| Keqing Zhu | 6 | 1 | 1.04 |
| Yubo Tao | 7 | 109 | 22.51 |
| Hai Lin | 8 | 142 | 29.61 |