3 papers
eess.IV2025
mViSE: A Visual Search Engine for Analyzing Multiplex IHC Brain Tissue Images
Liqiang Huang, Rachel W. Mills, Saikiran Mandula +7
Whole-slide multiplex imaging of brain tissue generates massive information-dense images that are challenging to analyze and require custom software. We present an alternative quer…
cs.CV2025
Weak-to-Strong Generalization Enables Fully Automated De Novo Training of Multi-head Mask-RCNN Model for Segmenting Densely Overlapping Cell Nuclei in Multiplex Whole-slice Brain Images
Lin Bai, Xiaoyang Li, Liqiang Huang +7
We present a weak to strong generalization methodology for fully automated training of a multi-head extension of the Mask-RCNN method with efficient channel attention for reliable…
cs.CV2022
Multiplexed Immunofluorescence Brain Image Analysis Using Self-Supervised Dual-Loss Adaptive Masked Autoencoder
Son T. Ly, Bai Lin, Hung Q. Vo +3
Reliable large-scale cell detection and segmentation is the fundamental first step to understanding biological processes in the brain. The ability to phenotype cells at scale can a…