8 citations · 17 across the 5 of their papers we have counts for
3 papers · 1 filter
VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology
Ramin Nakhli, Allen Zhang, Hossein Farahani +8
In clinical practice, many diagnosis tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques require labels, providing manu…
A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images
Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin +4
Visual microscopic study of diseased tissue by pathologists has been the cornerstone for cancer diagnosis and prognostication for more than a century. Recently, deep learning metho…
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning
Yiping Wang, David Farnell, Hossein Farahani +6
Ovarian cancer is the most lethal cancer of the female reproductive organs. There are major histological subtypes of epithelial ovarian cancer, each with distinct morphological…