One-shot medical landmark detection gains much attention and achieves gr...
The augmentation parameters matter to few-shot semantic segmentation sin...
Deep learning is becoming increasingly ubiquitous in medical research an...
Contrastive learning (CL) is a form of self-supervised learning and has ...
Fairness, a criterion focuses on evaluating algorithm performance on
dif...
Accurate anatomical landmark detection plays an increasingly vital role ...
Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D...
Contrastive learning based methods such as cascade comparing to detect (...
The success of deep learning methods relies on the availability of
well-...
Deep neural network based medical image systems are vulnerable to advers...
Detecting anatomical landmarks in medical images plays an essential role...
The success of deep learning methods relies on the availability of a lar...
Deep neural networks (DNNs) for medical images are extremely vulnerable ...
Scarcity of annotated images hampers the building of automated solution ...
Recent methods in multiple landmark detection based on deep convolutiona...