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 …
[HTML][HTML] AI-based radiodiagnosis using chest X-rays: A review
Chest Radiograph or Chest X-ray (CXR) is a common, fast, non-invasive, relatively cheap
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
radiological examination method in medical sciences. CXRs can aid in diagnosing many …
[HTML][HTML] Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow
VV Danilov, D Litmanovich, A Proutski, A Kirpich… - Scientific reports, 2022 - nature.com
In this study, we propose a two-stage workflow used for the segmentation and scoring of
lung diseases. The workflow inherits quantification, qualification, and visual assessment of …
lung diseases. The workflow inherits quantification, qualification, and visual assessment of …
Choquet integral and coalition game-based ensemble of deep learning models for COVID-19 screening from chest X-ray images
Under the present circumstances, when we are still under the threat of different strains of
coronavirus, and since the most widely used method for COVID-19 detection, RT-PCR is a …
coronavirus, and since the most widely used method for COVID-19 detection, RT-PCR is a …
[HTML][HTML] Analyzing the effect of filtering and feature-extraction techniques in a machine learning model for identification of infectious disease using radiography …
J Rasheed - Symmetry, 2022 - mdpi.com
The massive adaptation of reverse transcriptase-polymerase chain reaction (RT-PCR) has
facilitated efforts to battle against the COVID-19 pandemic that has inflicted millions of …
facilitated efforts to battle against the COVID-19 pandemic that has inflicted millions of …
Implementation of convolutional neural network approach for COVID-19 disease detection
E Irmak - Physiological Genomics, 2020 - journals.physiology.org
In this paper, two novel, powerful, and robust convolutional neural network (CNN)
architectures are designed and proposed for two different classification tasks using publicly …
architectures are designed and proposed for two different classification tasks using publicly …
[HTML][HTML] COVC-REDRNET: a deep learning model for covid-19 classification
Since the COVID-19 pandemic outbreak, over 760 million confirmed cases and over 6.8
million deaths have been reported globally, according to the World Health Organization …
million deaths have been reported globally, according to the World Health Organization …
COVID-19 prognosis using limited chest X-ray images
AK Mondal - Applied Soft Computing, 2022 - Elsevier
Abstract The COrona VIrus Disease 2019 (COVID-19) pandemic is an ongoing global
pandemic that has claimed millions of lives till date. Detecting COVID-19 and isolating …
pandemic that has claimed millions of lives till date. Detecting COVID-19 and isolating …
GraphXCOVID: explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays
AI Aviles-Rivero, P Sellars, CB Schönlieb… - Pattern Recognition, 2022 - Elsevier
Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the
outbreak of the novel COVID-19 there has been a rush for developing automatic techniques …
outbreak of the novel COVID-19 there has been a rush for developing automatic techniques …
[HTML][HTML] A few-shot approach for COVID-19 screening in standard and portable chest X-ray images
D Cores, N Vila-Blanco, M Pérez-Alarcón… - Scientific Reports, 2022 - nature.com
Reliable and effective diagnostic systems are of vital importance for COVID-19, specifically
for triage and screening procedures. In this work, a fully automatic diagnostic system based …
for triage and screening procedures. In this work, a fully automatic diagnostic system based …