Semantic segmentation for medical 3D image stacks enables accurate volum...
Automating video-based data and machine learning pipelines poses several...
Automated segmentation of pathological regions of interest has been show...
Although automated pathology classification using deep learning (DL) has...
Customer purchasing behavior analysis plays a key role in developing
ins...
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...
A success factor for modern companies in the age of Digital Marketing is...
Most computer aided pathology detection systems rely on large volumes of...
Pedestrian intention recognition is very important to develop robust and...
LiDAR-based 3D object detection plays a crucial role in modern autonomou...
Paleness or pallor is a manifestation of blood loss or low hemoglobin
co...
This paper presents a novel automated system that segments six sub-retin...
CT images are widely used in pathology detection and follow-up treatment...
CT protocol design and quality control would benefit from automated tool...
Large medical image data sets with high dimensionality require substanti...
The constant growth in the present day real-world databases pose
computa...
Automated facial expression detection problem pose two primary challenge...