Fanet: A feedback attention network for improved biomedical image segmentation
The increase of available large clinical and experimental datasets has contributed to a
substantial amount of important contributions in the area of biomedical image analysis …
substantial amount of important contributions in the area of biomedical image analysis …
Potential obstacle detection using RGB to depth image encoder–decoder network: Application to unmanned aerial vehicles
T Hachaj - Sensors, 2022 - mdpi.com
In this work, a new method is proposed that allows the use of a single RGB camera for the
real-time detection of objects that could be potential collision sources for Unmanned Aerial …
real-time detection of objects that could be potential collision sources for Unmanned Aerial …
Comparing the Clinical Viability of Automated Fundus Image Segmentation Methods
Recent methods for automatic blood vessel segmentation from fundus images have been
commonly implemented as convolutional neural networks. While these networks report high …
commonly implemented as convolutional neural networks. While these networks report high …
Distance estimation using artificial neural networks: architectures, capabilities and limitations
T Hachaj - ARGUMENT: Biannual Philosophical Journal, 2023 - ceeol.com
The ability to judge distances using vision is an extremely important skill that greatly
facilitates exploration of one's immediate environment. Most commonly, spatial vision is …
facilitates exploration of one's immediate environment. Most commonly, spatial vision is …