4 papers
Self-Auditing Parameter-Efficient Fine-Tuning for Few-Shot 3D Medical Image Segmentation
Son Thai Ly, Hien V. Nguyen
Adapting foundation models to new clinical sites remains challenging in practice. Domain shift and scarce annotations must be handled by experts, yet many clinical groups do not ha…
A Multi-scale Linear-time Encoder for Whole-Slide Image Analysis
Jagan Mohan Reddy Dwarampudi, Joshua Wong, Hien Van Nguyen +1
We introduce Multi-scale Adaptive Recurrent Biomedical Linear-time Encoder (MARBLE), the first \textit{purely Mamba-based} multi-state multiple instance learning (MIL) framework fo…
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…
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…