A comprehensive review on variants of SARS-CoVs-2: Challenges, solutions and open issues
SARS-CoV-2 is an infected disease caused by one of the variants of Coronavirus which
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
emerged in December 2019. It is declared a pandemic by WHO in March 2020. COVID-19 …
xViTCOS: explainable vision transformer based COVID-19 screening using radiography
Objective: Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19)
across the globe has pushed the health care system in many countries to the verge of …
across the globe has pushed the health care system in many countries to the verge of …
Deep learning methods for interpretation of pulmonary CT and X-ray images in patients with COVID-19-related lung involvement: a systematic review
MH Lee, A Shomanov, M Kudaibergenova… - Journal of Clinical …, 2023 - mdpi.com
SARS-CoV-2 is a novel virus that has been affecting the global population by spreading
rapidly and causing severe complications, which require prompt and elaborate emergency …
rapidly and causing severe complications, which require prompt and elaborate emergency …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …
[HTML][HTML] DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery
T Mahmood, SW Cho, KR Park - Expert Systems with Applications, 2022 - Elsevier
In conventional robot-assisted minimally invasive procedures (RMIS), surgeons have narrow
visual and complex working spaces, along with specular reflection, blood, camera-lens …
visual and complex working spaces, along with specular reflection, blood, camera-lens …
[HTML][HTML] Exploring deep feature-blending capabilities to assist glaucoma screening
Over the last three decades, computer vision has had a vital role in the healthcare sector by
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
The impact of the COVID-19 pandemic on college students: An online survey
The COVID-19 pandemic, since its beginning in December 2019, has altered every aspect
of human life. In Vietnam, the pandemic is in its fourth peak and is the most serious so far …
of human life. In Vietnam, the pandemic is in its fourth peak and is the most serious so far …
CARes‐UNet: Content‐aware residual UNet for lesion segmentation of COVID‐19 from chest CT images
Abstract Purpose Coronavirus disease 2019 (COVID‐19) has caused a serious global
health crisis. It has been proven that the deep learning method has great potential to assist …
health crisis. It has been proven that the deep learning method has great potential to assist …
Explainable COVID-19 infections identification and delineation using calibrated pseudo labels
The upheaval brought by the arrival of the COVID-19 pandemic has continued to bring fresh
challenges over the past two years. During this COVID-19 pandemic, there has been a need …
challenges over the past two years. During this COVID-19 pandemic, there has been a need …
Artificial intelligence-based solution in personalized computer-aided arthroscopy of shoulder prostheses
Background: Early recognition of prostheses before reoperation can reduce perioperative
morbidity and mortality. Because of the intricacy of the shoulder biomechanics, accurate …
morbidity and mortality. Because of the intricacy of the shoulder biomechanics, accurate …