5 papers
CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space
Hung Q. Vo, Huy Q. Vo, Son T. Ly +6
Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial or…
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…
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
Hung Q. Vo, Samira Zare, Son T. Ly +6
Achieving health equity in Artificial Intelligence (AI) requires diagnostic models that maintain reliability across diverse populations. However, breast cancer screening systems fr…
Efficient Multi-scale Masked Autoencoders with Hybrid-Attention Mechanism for Breast Lesion Classification
Hung Q. Vo, Pengyu Yuan, Zheng Yin +5
Self-supervised learning (SSL) with Vision Transformers (ViT) has shown immense potential in medical image analysis. However, the quadratic complexity () of stand…
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
Son Thai Ly, Hien V. Nguyen
Adapting vision transformer foundation models through parameter-efficient fine-tuning (PEFT) methods has become increasingly popular. These methods optimize a limited subset of par…