-
1
Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images
Published 2024“…<h3>Purpose</h3><p dir="ltr">To investigate the impact of digital image post‐processing algorithms on various image quality (IQ) metrics of radiographic images under different exposure conditions.…”
-
2
-
3
-
4
Low-Light Image Enhancement for Object Classification using Deep Learning
Published 2021“…Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions. …”
Get full text
Get full text
Get full text
masterThesis -
5
-
6
-
7
-
8
-
9
The image as a site of transgression: the case of Beirut counter-visuality since October 2019
Published 2023“…Taking the digital image of the side kick as a case study, this qualitative research examines how five young Lebanese artists use ‘cyberartivism’ to participate in the rising wave of political and social transformation. …”
Get full text
Get full text
Get full text
Get full text
article -
10
-
11
Whole Slide Imaging Integration with Lab Information Systems, a Study of the Requirements, Processes and Procedures Enabling a Reporting-Based Workflow
Published 2023“…</p><h3>Results</h3><p dir="ltr">Direct integration was achieved fulfilling the required goals specified by the workflow mapping. An automated case movement process was established in order to enable the pathologist a work management process from the digital platform. …”
-
12
Quantitative imaging of lymph function
Published 2007“…Lymph propulsion was independent of respiration rate. In the case of the hyaluronan imaging agent, lymph propulsion was absent as the dye progressed immediately through the plexus and stained the lymph vessels and nodes. …”
Get full text
Get full text
Get full text
Get full text
article -
13
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Published 2020“…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …”
-
14
Impact of an integrated seismic data processing approach
Published 1992Get full text
Get full text
Get full text
conferenceObject -
15
-
16
Classification and segmentation of kidney MRI images for chronic kidney disease detection
Published 2024“…It achieved an accuracy of 94.38% in distinguishing between healthy and CKD cases in kidney MRI image classification. Moreover, the pretrained models Densenet201 and VGG19, as well as the ViT-based models EfficientNet_b1 and tf_mobilenetv3_large_075, demonstrate remarkable sensitivity and accuracy while compared to identifying kidney MRI images which highlights the effectiveness of deep learning architectures in identifying diseases. …”
-
17
-
18
-
19
Lean Transformation in IT – Case Study
Published 2014“…Meeting customers’ satisfactions and needs by providing a high standard of quality for services and products will uphold organizations’ image and reputation. A review of quality frameworks literature reveals that Lean production framework focuses in creating a culture of improvement by eliminating waste from organization’s process with lower cost. …”
Get full text
-
20
Axial image restoration of a single dome window view for stereo vision in unmanned underwater vehicles (UUV)
Published 2025“…</p><h2>Other Information</h2><p dir="ltr">Published in: Signal, Image and Video Processing<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s11760-025-04252-y" target="_blank">https://dx.doi.org/10.1007/s11760-025-04252-y</a></p>…”
