30 September 2017
AggNet among the most-accessed articles of IEEE Transactions on Medical Imaging throughout 2017
Our crowdsourcing paper AggNet ranked in the top 10 of the 50 most frequently accessed IEEE TMI articles on IEEE Xplore, month after month in 2017.
Our paper AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images (IEEE Transactions on Medical Imaging, 2016) was listed among IEEE Xplore’s “Popular Documents” for IEEE TMI, the top 50 most frequently accessed articles of the journal each month, throughout 2017:
| Month | Rank | Archived list |
|---|---|---|
| January 2017 | #6 of 50 | snapshot |
| April 2017 | #6 of 50 | snapshot |
| September 2017 | #5 of 50 | snapshot |
| December 2017 | #7 of 50 | snapshot |
In September 2017 it was also shown among the “Popular Articles” on the journal’s IEEE Xplore page. Rankings as captured by the Internet Archive.