Name
Title | ||
|---|---|---|
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels |
Abstract | ||
|---|---|---|
Prostate cancer is the most prevalent cancer among men in Western countries, with 1.1 million new diagnoses every year. The gold standard for the diagnosis of prostate cancer is a pathologists’ evaluation of prostate tissue. To potentially assist pathologists deep $\overline {/}$ learning $\overline {/}$ based cancer detection systems have been developed. Many of the state-of-the-art models are pa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3066295 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Training,Prostate cancer,Pathology,Biomedical imaging,Biological system modeling,Task analysis,Streaming media | Journal | 40 |
Issue | ISSN | Citations |
7 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hans Pinckaers | 1 | 4 | 1.73 |
| Wouter Bulten | 2 | 14 | 2.76 |
| j a w m van der laak | 3 | 702 | 29.53 |
| Geert Litjens | 4 | 996 | 50.79 |