189 citations · 210 across the 7 of their papers we have counts for
4 papers · 1 filter
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis
Quan Liu, Isabella M. Gaeta, Mengyang Zhao +6
Instance object segmentation and tracking provide comprehensive quantification of objects across microscope videos. The recent single-stage pixel-embedding based deep learning appr…
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns
Ruining Deng, Quan Liu, Shunxing Bao +5
Weakly supervised learning has been rapidly advanced in biomedical image analysis to achieve pixel-wise labels (segmentation) from image-wise annotations (classification), as biome…
GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects
Quan Liu, Isabella M. Gaeta, Bryan A. Millis +2
The unsupervised segmentation is an increasingly popular topic in biomedical image analysis. The basic idea is to approach the supervised segmentation task as an unsupervised synth…
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
Mengyang Zhao, Aadarsh Jha, Quan Liu +6
Recently, single-stage embedding based deep learning algorithms gain increasing attention in cell segmentation and tracking. Compared with the traditional "segment-then-associate"…