Search Results for author:
Found 5 papers, 1 papers with code
Automatic detection of glaucoma via fundus imaging and artificial intelligence: A review
Namely, can artificial intelligence automatically find the boundaries of the optic cup and disc (providing a so-called segmented fundus image) and then use the segmented image to identify glaucoma with high accuracy.
Deep forecasting of translational impact in medical research
We show that citations are only moderately predictive of translational impact as judged by inclusion in patents, guidelines, or policy documents.
Recent Advances of Continual Learning in Computer Vision: An Overview
In contrast to batch learning where all training data is available at once, continual learning represents a family of methods that accumulate knowledge and learn continuously with data available in sequential order.
Multi-Branch with Attention Network for Hand-Based Person Recognition
In this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in cases of serious crime such as sexual abuse.
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
Our proposed method, Global and Part-Aware Network (GPA-Net), creates global and local branches on the conv-layer for learning robust discriminative global and part-level features.
