This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...
Investigators developed and validated a deep learning-powered segmentation model to analyze inner retinal layers and improve ...
Researchers developed a retinal image-based system to predict the 5-year risk of diabetic kidney disease and the risk of ...
White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
The uncinate fasciculus is a major white matter pathway involved in memory, emotion, and language, but its microscopic structure in the human brain has remained largely unknown. Researchers report a ...
Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...
Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...
This project represents a collaborative research initiative between the Machine Intelligence Lab and Department of Ophthalmology, Sichuan University focusing on advanced deep learning solutions for ...
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