High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.
Saved in:
| Title: | High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. |
|---|---|
| Authors: | Cruz-Roa, Angel1,2 aacruz@unillanos.edu.co, Gilmore, Hannah3, Basavanhally, Ajay4, Feldman, Michael5, Ganesan, Shridar6, Shih, Natalie5, Tomaszewski, John7, Madabhushi, Anant8, González, Fabio2 |
| Source: | PLoS ONE. 5/24/2018, Vol. 13 Issue 5, p1-23. 23p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 19326203 |
|---|---|
| DOI: | 10.1371/journal.pone.0196828 |
