Text-driven medical image segmentation demands unified models based on multi-modal learning, capable of processing diverse imaging modalities while providing spatially reliable prediction estimates for clinical practice. Nevertheless, existing vision-language model solutions suffer from poor domain generalization and e...
Jing-Ling Zhang, Shu-Ting Zheng, Xiang-Fei Liu et al.· bioRxiv· 0 citations
Accurate detection and quantification of EGFR mutations are essential for molecular stratification in non‐small cell lung cancer (NSCLC). While next‐generation sequencing (NGS) enables comprehensive genomic profiling, droplet digital PCR (ddPCR) offers high sensitivity for predefined mutations. Large‐scale evaluati...
Ming Liu, Lin-Ping Lu, Qifang Lei et al.· iMetaMed· 0 citations
SpatialGEO, a geometric-aware deep learning framework that integrates gene expression profiles with spatial coordinates to generate biologically meaningful low-dimensional embeddings, enabling the dissection of complex tissue architectures, achieves superior performance in tissue structure dissection and data denoising...