ASIST: Annotation-free Synthetic Instance Segmentation and Tracking by Adversarial Simulations Aug 27, 2021 Go to Project Site PDF Photo by rawpixel on Unsplash 2021 Next AI Applications in Renal Pathology Previous BEDs: Bagging Ensemble Deep Segmentation for Nucleus Segmentation with Testing Stage Stain Augmentation Related Circle Representation for Medical Object Detection Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images SimTriplet: Simple Triplet Representation Learning with a Single GPU Pancreas CT Segmentation by Predictive Phenotyping
Photo by rawpixel on Unsplash
Photo by rawpixel on Unsplash
Photo by rawpixel on Unsplash
Photo by rawpixel on Unsplash