3 citations · 4 across the 3 of their papers we have counts for
3 papers
Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations
Piotr Kaniewski, Fariba Yousefi, Yeman Brhane Hagos +2
In drug discovery, accurate lung tumor segmentation is an important step for assessing tumor size and its progression using \textit{in-vivo} imaging such as MRI. While deep learnin…
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…
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning
Ricardo Mokhtari, Azam Hamidinekoo, Daniel Sutton +12
Crohn's Disease (CD) and Ulcerative Colitis (UC) are the two main Inflammatory Bowel Disease (IBD) types. We developed deep learning models to identify histological disease feature…