In this study, we present a method for generating automated anatomy
segm...
Nuclei detection and segmentation in hematoxylin and eosin-stained (H ...
Purpose: Interpreting chest radiographs (CXR) remains challenging due to...
Recently, deep learning enabled the accurate segmentation of various dis...
The segmentation of histopathological whole slide images into tumourous ...
In clinical radiology reports, doctors capture important information abo...
When reading images, radiologists generate text reports describing the
f...
Structured Visual Content (SVC) such as graphs, flow charts, or the like...
Visual recognition inside the vehicle cabin leads to safer driving and m...
Dimensionality reduction is crucial both for visualization and preproces...
Producing densely annotated data is a difficult and tedious task for med...
Lacking the ability to sense ambient environments effectively, blind and...
Recognizing Activities of Daily Living (ADL) is a vital process for
inte...
Drones have become a common tool, which is utilized in many tasks such a...
Pixel-wise segmentation is one of the most data and annotation hungry ta...
Detector-based spectral computed tomography is a recent dual-energy CT (...
The lack of fine-grained annotations hinders the deployment of automated...
Generative adversarial networks has emerged as a defacto standard for im...