Name
Abstract | ||
|---|---|---|
From the simple measurement of tissue attributes in pathology workflow to designing an explainable diagnostic/prognostic AI tool, access to accurate semantic segmentation of tissue regions in histology images is a prerequisite. However, delineating different tissue regions manually is a laborious, time-consuming and costly task that requires expert knowledge. On the other hand, the state-of-the-ar... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCVW54120.2021.00081 | 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
Keywords | DocType | Volume |
Geometry,Deep learning,Image segmentation,Histopathology,Annotations,Computational modeling,Semantics | Conference | 2021 |
Issue | ISSN | ISBN |
1 | 2473-9936 | 978-1-6654-0191-3 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mostafa Jahanifar | 1 | 10 | 2.30 |
| Neda Zamani Tajeddin | 2 | 9 | 1.94 |
| Navid Alemi Koohbanani | 3 | 22 | 4.35 |
| Nasir M Rajpoot | 4 | 6 | 3.51 |