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Found 6 papers, 3 papers with code
Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time
We apply this approach to both 2D and 3D CNN architectures with our top model achieving an ROC-AUC value of 0. 74, with a sensitivity of 0. 70 and a specificity of 0. 81 for classifying TSS < 4. 5 hours.
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients
Several deep learning-based methods are proposed for the OS time prediction on multi-modal MRI problems.
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
In clinical practice, anisotropic volumetric medical images with low through-plane resolution are commonly used due to short acquisition time and lower storage cost.
Transformer Lesion Tracker
Previous methods typically lack the integration of local and global information.
Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
This is a promising result that supports future applications of deep learning on CT and CTA for the identification of eligible AIS patients for MTB.
MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices
It aims to maintain real-time performance while improving the accuracy of human posture estimation for mobile devices.
