Name
Title | ||
|---|---|---|
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology |
Abstract | ||
|---|---|---|
The examination of histopathology images is considered to be the gold standard for the diagnosis and stratification of cancer patients. A key challenge in the analysis of such images is their size, which can run into the gigapixels and can require tedious screening by clinicians. With the recent advances in computational medicine, automatic tools have been proposed to assist clinicians in their ev... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICCVW54120.2021.00077 | 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) |
Keywords | DocType | Volume |
Visualization,Computer vision,Codes,Histopathology,Computational modeling,Conferences,Tools | Conference | 2021 |
Issue | ISSN | ISBN |
1 | 2473-9936 | 978-1-6654-0191-3 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Boyd | 1 | 0 | 1.01 |
| Mykola Liashuha | 2 | 0 | 0.34 |
| Deutsch Eric W | 3 | 102 | 10.94 |
| Nikos Paragios | 4 | 6055 | 387.68 |
| S Christodoulidis | 5 | 160 | 10.20 |
| Maria Vakalopoulou | 6 | 14 | 2.60 |