[HTML][HTML] COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models
… This study presented a COVLIAS 1.0 system that consisted of … model for lung segmentation
in COVID-19 CT lung scans. … of the segmented model lung region against the GT lung region …
in COVID-19 CT lung scans. … of the segmented model lung region against the GT lung region …
[HTML][HTML] Inter-variability study of COVLIAS 1.0: hybrid deep learning models for COVID-19 lung segmentation in computed tomography
… lung segmentation in COVID-19 to avoid the effect of bias. Methodology: The proposed
inter-variability study consists of two GT tracers for lung segmentation … CT lung segmentation on …
inter-variability study consists of two GT tracers for lung segmentation … CT lung segmentation on …
[HTML][HTML] COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans
… The occurrence of ground-glass opacities in the lung region is a characteristic of COVID-19 …
located and segmented COVID-19 lesions in CT scans. The COVLIAS 1.0 Lesion lesion …
located and segmented COVID-19 lesions in CT scans. The COVLIAS 1.0 Lesion lesion …
[HTML][HTML] COVLIAS 1.0 vs. MedSeg: artificial intelligence-based comparative study for automated COVID-19 computed tomography lung segmentation in Italian and …
… We present a comparison of CT lung segmentation for COVLIAS 1.0 vs. MedSeg using
overlays of the binary mask from the two AI systems (see Figure 9 and Figure 10). Using a region-…
overlays of the binary mask from the two AI systems (see Figure 9 and Figure 10). Using a region-…
[HTML][HTML] … -19 lung computed tomography segmentation with varying glass ground opacities using unseen deep learning artificial intelligence paradigms: COVLIAS 1.0 …
… of COVLIAS 1.0-Unseen against MedSeg [58], a web-based lung segmentation tool. … to
produce the desired output like a segmented binary lung mask in this study. Another model used …
produce the desired output like a segmented binary lung mask in this study. Another model used …
… for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
… COVLIAS 1.0: an automated lung segmentation was … COVLIAS 2.0 uses pruned AI (PAI)
networks for improving both storage and speed, wiliest high performance on lung segmentation …
networks for improving both storage and speed, wiliest high performance on lung segmentation …
An investigation of the inter-variability in COVLIAS 1.0: hybrid deep learning approaches for segmenting COVID-19 lungs in CT scans
… (AI) models used for segmentation may exhibit bias due to … that utilizes two GT tracers for
lung segmentation on CT scans of … During the inter-variability analysis of CT lung segmentation …
lung segmentation on CT scans of … During the inter-variability analysis of CT lung segmentation …
A multicenter study using COVLIAS 2.0: eight pruned deep learning models for efficient COVID-19 CT lung segmentation and lesion localization
… The previous version, COVLIAS 1.0, had issues with storage space and speed. … our
evolutionary-based COVLIAS 2.0 with MedSwg [41], a web-based lung segmentation program, in …
evolutionary-based COVLIAS 2.0 with MedSwg [41], a web-based lung segmentation program, in …
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
… Our COVLIAS 3.0 leverages hybrid model technology demonstrating a higher DSC of 16%
and further implemented in cloud-based framework embedded with quantization …
and further implemented in cloud-based framework embedded with quantization …
[HTML][HTML] Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients
F Gholamiankhah, S Mostafapour… - Iranian Journal of …, 2022 - ncbi.nlm.nih.gov
… Suri and colleagues proposed a COVID-19 Lung Image Analysis System (COVLIAS)
consisting of hybrid deep learning models such as VGG-SegNet and ResNet-SegNet for …
consisting of hybrid deep learning models such as VGG-SegNet and ResNet-SegNet for …