1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2021★ 1 cited
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology
Rohollah Moosavi Tayebi, Youqing Mu, Taher Dehkharghanian +5
Bone marrow cytology is required to make a hematological diagnosis, influencing critical clinical decision points in hematology. However, bone marrow cytology is tedious, limited t…
eess.IV2021
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images
Shivam Kalra, Mohammed Adnan, Sobhan Hemati +3
Deep learning methods such as convolutional neural networks (CNNs) are difficult to directly utilize to analyze whole slide images (WSIs) due to the large image dimensions. We over…