The objective of this paper is to study the impact of limited datasets on deep learning
techniques and conventional methods in semantic image segmentation and to conduct a …

Deep learning models achieve high-quality results in image processing. However, to
robustly optimize parameters of deep neural networks, large annotated datasets are …

Significance Manual annotations are necessary for training supervised learning algorithms
for object detection and instance segmentation. These manual annotations are difficult to …

In biotechnology, cell growth is one of the most important properties for the characterization
and optimization of microbial cultures. Novel live-cell imaging methods are leading to an …

Provident detection of other road users at night has the potential for increasing road safety.
For this purpose, humans intuitively use visual cues, such as light cones and light reflections …

Cancer is a devastating disease and the second leading cause of death worldwide.
However, the development of resistance to current therapies is making cancer treatment …

Current mask processing operations rely on interpolation algorithms that do not produce
extra pixels, such as nearest neighbor (NN) interpolation, as opposed to algorithms that do …

Provident detection of other road users at night has the potential for increasing road safety.
For this purpose, humans intuitively use visual cues, such as light cones and light reflections …

Detecting oncoming vehicles at night as early as possible is important for highly automated
driving and Advanced-Driver-Assistance-Systems (ADAS). The sooner objects are detected …

In biomedical engineering, deep neural networks are commonly used for the diagnosis and
assessment of diseases through the interpretation of medical images. The effectiveness of …