Employing deep convolutional neural networks for segmenting the medial retropharyngeal lymph nodes in CT studies of dogs
D Schmid, VB Scholz, PR Kircher… - Veterinary Radiology …, 2022 - Wiley Online Library
While still in its infancy, the application of deep convolutional neural networks in veterinary
diagnostic imaging is a rapidly growing field. The preferred deep learning architecture to be …
diagnostic imaging is a rapidly growing field. The preferred deep learning architecture to be …
[HTML][HTML] Developing a New Method of Transformation for Obtaining XYZ Color Values from RGB Images for Agricultural Applications
The extraction of device-independent color values from affordable and accessible digital
images based on a standard color space system is crucially necessary for agricultural …
images based on a standard color space system is crucially necessary for agricultural …
[PDF][PDF] Identyfikacja stopnia narażenia społeczności na wybrane ksenobiotyki z wykorzystaniem analizy zanieczyszczenia powietrza oraz modeli transportu …
P Furman - 2023 - fizyka.agh.edu.pl
The aim of this doctoral dissertation was to develop new models for identifying the level of
community exposure to selected air pollutants based on analysis of particulate matter …
community exposure to selected air pollutants based on analysis of particulate matter …
Enhancing Dehaze Method in Real hill Based Images using Gaussian Filter Over Gabor Filter for Better Accuracy
SH venkata Sai, S Parthiban… - 2023 Second …, 2023 - ieeexplore.ieee.org
Enhancing dehaze method in real hill based images using Gaussian filter over gabor filter
for better exactness. The Gaussian filter (N= 10) and gabor filter method (N= 10) these two …
for better exactness. The Gaussian filter (N= 10) and gabor filter method (N= 10) these two …