10 citations · 16 across the 4 of their papers we have counts for
4 papers
Leveraging Transfer Learning and Multiple Instance Learning for HER2 Automatic Scoring of H\&E Whole Slide Images
Rawan S. Abdulsadig, Bryan M. Williams, Nikolay Burlutskiy
Expression of human epidermal growth factor receptor 2 (HER2) is an important biomarker in breast cancer patients who can benefit from cost-effective automatic Hematoxylin and Eosi…
Segmenting Potentially Cancerous Areas in Prostate Biopsies using Semi-Automatically Annotated Data
Nikolay Burlutskiy, Nicolas Pinchaud, Feng Gu +7
Gleason grading specified in ISUP 2014 is the clinical standard in staging prostate cancer and the most important part of the treatment decision. However, the grading is subjective…
A Deep Learning Framework for Automatic Diagnosis in Lung Cancer
Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen +2
We developed a deep learning framework that helps to automatically identify and segment lung cancer areas in patients' tissue specimens. The study was based on a cohort of lung can…
Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images
Feng Gu, Nikolay Burlutskiy, Mats Andersson +1
Digital pathology provides an excellent opportunity for applying fully convolutional networks (FCNs) to tasks, such as semantic segmentation of whole slide images (WSIs). However,…