Name
Abstract | ||
|---|---|---|
•Deep learning approaches can be applied for automatic detection of lymphocytes in immunohistochemically stained tissue sections.•An observer study on lymphocyte quantification, which involved four pathologists.•The results give insights on the applicability of the proposed methods for clinical use.•Hight agreement between automatic method and reference standard. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.media.2019.101547 | Medical Image Analysis |
Keywords | Field | DocType |
Deep learning,Immune cell detection,Computational pathology,Immunohistochemistry | Pattern recognition,Prostate cancer,Artificial intelligence,Deep learning,Immunohistochemistry,Reference standards,Mathematics,Cancer,Test set | Journal |
Volume | ISSN | Citations |
58 | 1361-8415 | 4 |
PageRank | References | Authors |
0.38 | 0 | 14 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zaneta Swiderska-Chadaj | 1 | 7 | 2.89 |
| Hans Pinckaers | 2 | 4 | 1.73 |
| Mart van Rijthoven | 3 | 4 | 0.38 |
| Maschenka Balkenhol | 4 | 31 | 2.24 |
| Margarita Melnikova | 5 | 4 | 0.38 |
| Oscar Geessink | 6 | 25 | 1.50 |
| Quirine Manson | 7 | 12 | 0.85 |
| Mark Sherman | 8 | 4 | 0.38 |
| António Polónia | 9 | 28 | 2.16 |
| Jeremy Parry | 10 | 4 | 0.38 |
| Mustapha Abubakar | 11 | 4 | 0.38 |
| Geert Litjens | 12 | 996 | 50.79 |
| j a w m van der laak | 13 | 702 | 29.53 |
| Ciompi Francesco | 14 | 837 | 39.53 |