Formalizing surgical activities as triplets of the used instruments, act...
Convolutional Neural Networks have played a significant role in various
...
Context-aware decision support in the operating room can foster surgical...
Lung cancer is the most common form of cancer found worldwide with a hig...
Various screening and diagnostic methods have led to a large reduction o...
This report summarizes IROS 2019-Lifelong Robotic Vision Competition
(Li...
Mammograms are commonly employed in the large scale screening of breast
...
Chest radiographs are primarily employed for the screening of cardio,
th...
Chest radiographs are primarily employed for the screening of pulmonary ...
Segmentation of abdominal organs has been a comprehensive, yet unresolve...
Ischaemic stroke is a medical condition caused by occlusion of blood sup...
The simple approach of retrieving a closest match of a query image from ...
Convolutional neural networks (CNN) are generally designed with a heuris...
Surgical workflow analysis is of importance for understanding onset and
...
Diabetic retinopathy (DR) is the most common form of diabetic eye diseas...
Coronary artery disease accounts for a large number of deaths across the...
Ultrasound imaging is generally employed for real-time investigation of
...
Adversarially trained deep neural networks have significantly improved
p...
Ultrasound image compression by preserving speckle-based key information...
Early works on medical image compression date to the 1980's with the imp...
Ultrasound imaging makes use of backscattering of waves during their
int...
Training deep fully convolutional neural networks (F-CNNs) for semantic ...
Optical coherence tomography (OCT) is used for non-invasive diagnosis of...
Automated segmentation of retinal blood vessels in label-free fundus ima...
Domain adaptation deals with adapting behaviour of machine learning base...
Vision impairment due to pathological damage of the retina can largely b...