[HTML][HTML] PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation
Abstract Background and Objective Liver cancer seriously threatens human health. In
clinical diagnosis, contrast-enhanced computed tomography (CECT) images provide …
clinical diagnosis, contrast-enhanced computed tomography (CECT) images provide …
Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network
Y Gao, X Zhang, Z Sun, P Chandak, J Bu… - Advanced …, 2025 - Wiley Online Library
Abstract Accurate prediction of Adverse Drug Reactions (ADRs) at the patient level is
essential for ensuring patient safety and optimizing healthcare outcomes. Traditional …
essential for ensuring patient safety and optimizing healthcare outcomes. Traditional …
Two-Stage Deep Learning Model for Diagnosis of Lumbar Spondylolisthesis Based on Lateral X-Ray Images
C Xu, X Liu, B Bao, C Liu, R Li, T Yang, Y Wu… - World Neurosurgery, 2024 - Elsevier
Background Diagnosing early lumbar spondylolisthesis is challenging for many doctors
because of the lack of obvious symptoms. Using deep learning (DL) models to improve the …
because of the lack of obvious symptoms. Using deep learning (DL) models to improve the …