Name
Title | ||
|---|---|---|
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. |
Abstract | ||
|---|---|---|
Manual counting of mitotic tumor cells in tissue sections constitutes one of the strongest prognostic markers for breast cancer. This procedure, however, is time-consuming and error-prone. We developed a method to automatically detect mitotic figures in breast cancer tissue sections based on convolutional neural networks (CNNs). Application of CNNs to hematoxylin and eosin (H&E) stained histologic... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2018.2820199 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Breast cancer,Standards,Tumors,Pathology,Training,Image analysis,Image color analysis | Journal | 37 |
Issue | ISSN | Citations |
9 | 0278-0062 | 8 |
PageRank | References | Authors |
0.56 | 0 | 13 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Tellez | 1 | 21 | 2.36 |
| Maschenka Balkenhol | 2 | 11 | 0.97 |
| Irene Otte-Höller | 3 | 8 | 0.56 |
| Rob van de Loo | 4 | 10 | 0.98 |
| Rob Vogels | 5 | 8 | 0.56 |
| p bult | 6 | 23 | 2.35 |
| Carla Wauters | 7 | 8 | 0.56 |
| Willem Vreuls | 8 | 16 | 1.03 |
| Suzanne Mol | 9 | 8 | 0.56 |
| Nico Karssemeijer | 10 | 992 | 122.49 |
| Geert Litjens | 11 | 996 | 50.79 |
| van der Laak Jeroen | 12 | 22 | 5.41 |
| Ciompi Francesco | 13 | 837 | 39.53 |