35 citations · 49 across the 8 of their papers we have counts for
8 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…
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching
Tushar Kataria, Beatrice Knudsen, Shireen Elhabian
Semantic segmentation is a critical step in automated image interpretation and analysis where pixels are classified into one or more predefined semantically meaningful classes. Dee…
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology
Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi +1
Pathologists diagnose and grade prostate cancer by examining tissue from needle biopsies on glass slides. The cancer's severity and risk of metastasis are determined by the Gleason…
Stain Based Contrastive Co-training for Histopathological Image Analysis
Bodong Zhang, Beatrice Knudsen, Deepika Sirohi +2
We propose a novel semi-supervised learning approach for classification of histopathology images. We employ strong supervision with patch-level annotations combined with a novel co…
Visual attention analysis of pathologists examining whole slide images of Prostate cancer
Souradeep Chakraborty, Ke Ma, Rajarsi Gupta +4
We study the attention of pathologists as they examine whole-slide images (WSIs) of prostate cancer tissue using a digital microscope. To the best of our knowledge, our study is th…
An attention-based multi-resolution model for prostate whole slide imageclassification and localization
Jiayun Li, Wenyuan Li, Arkadiusz Gertych +3
Histology review is often used as the `gold standard' for disease diagnosis. Computer aided diagnosis tools can potentially help improve current pathology workflows by reducing exa…
Statistical methods for tissue array images - algorithmic scoring and co-training
Donghui Yan, Pei Wang, Michael Linden +2
Recent advances in tissue microarray technology have allowed immunohistochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of d…