3 papers
eess.IV2020
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…
cs.CV2020
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…
cs.CV2020
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"…