no code implementations • 27 Jul 2018 • Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke
The performance of the developed deep learning framework was evaluated on fully annotated TMA cores from 178 patients reaching pixel-wise precision of 0. 80 and recall of 0. 86.
no code implementations • 25 Jul 2018 • Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilen
Digital pathology provides an excellent opportunity for applying fully convolutional networks (FCNs) to tasks, such as semantic segmentation of whole slide images (WSIs).