7 papers with code • 1 benchmarks • 3 datasets
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems.
Ranked #1 on Image-to-Image Translation on Aerial-to-Map
Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fundamental prerequisite in the digital pathology work-flow.
Ranked #1 on Multi-tissue Nucleus Segmentation on Kumar
Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.
Ranked #1 on Colorectal Gland Segmentation: on CRAG