Deep Learning Applications in Optical Microscopy Techniques
In a recent review article published in the journal Microscopy Research & Technique, researchers focused on the integration of DL into...
Deep
Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data
The proposed frameworkThe proposed framework integrates multiple components to improve multilabel medical image classification and clinical decision making. It begins...
Exploring Deep Learning’s Promise in Protein-Ligand Docking
In the rapidly evolving field of molecular biology, the convergence of artificial intelligence (AI) and structural biology is yielding groundbreaking...
A clinically validated 3D deep learning approach for quantifying vascular invasion in pancreatic cancer
Siegel, R. L., Kratzer, T. B., Giaquinto, A. N., Sung, H. & Jemal, A. Cancer statistics, 2025. CA Cancer J....
Deep learning-driven conversion of scanning superlens microscopy to high depth-of-field SEM-like imaging
Description of microsphere-based SSUM utilizing deep learningIn microsphere-based SSUM, the diameter of microspheres determines their focal length, directly influencing the...
Enhancing groundwater level prediction with a hybrid deep learning model in Jinan City, China
The complete workflow of the methodology in this study was divided into three critical stages: data preprocessing, model construction, and...
