8 citations · 16 across the 7 of their papers we have counts for
3 papers · 1 filter
Capturing global spatial context for accurate cell classification in skin cancer histology
Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis +3
The spectacular response observed in clinical trials of immunotherapy in patients with previously uncurable Melanoma, a highly aggressive form of skin cancer, calls for a better un…
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Priya Lakshmi Narayanan, Shan E Ahmed Raza, Andrew Dodson +3
Ki67 is an important biomarker for breast cancer. Classification of positive and negative Ki67 cells in histology slides is a common approach to determine cancer proliferation stat…
Deconvolving convolution neural network for cell detection
Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani +4
Automatic cell detection in histology images is a challenging task due to varying size, shape and features of cells and stain variations across a large cohort. Conventional deep le…