2 citations · 2 across the 3 of their papers we have counts for
3 papers
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
Shikha Dubey, Tushar Kataria, Beatrice Knudsen +1
With the advent of digital scanners and deep learning, diagnostic operations may move from a microscope to a desktop. Hematoxylin and Eosin (H&E) staining is one of the most freque…
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology
Tushar Kataria, Beatrice Knudsen, Shireen Elhabian
Annotating medical imaging datasets is costly, so fine-tuning (or transfer learning) is the most effective method for digital pathology vision applications such as disease classifi…
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images
Mokshagna Sai Teja Karanam, Tushar Kataria, Krithika Iyer +1
Statistical shape models (SSM) have been well-established as an excellent tool for identifying variations in the morphology of anatomy across the underlying population. Shape model…