Detection and classification of COVID-19 by radiological imaging modalities using deep learning techniques: a literature review
Coronavirus disease (COVID-19) is a viral pneumonia that originated in China and has
rapidly spread around the world. Early diagnosis is important to provide effective and timely …
rapidly spread around the world. Early diagnosis is important to provide effective and timely …
COVID-rate: an automated framework for segmentation of COVID-19 lesions from chest CT images
Abstract Novel Coronavirus disease (COVID-19) is a highly contagious respiratory infection
that has had devastating effects on the world. Recently, new COVID-19 variants are …
that has had devastating effects on the world. Recently, new COVID-19 variants are …
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network
P Afshar, MJ Rafiee, F Naderkhani, S Heidarian… - Scientific Reports, 2022 - nature.com
Reverse transcription-polymerase chain reaction is currently the gold standard in COVID-19
diagnosis. It can, however, take days to provide the diagnosis, and false negative rate is …
diagnosis. It can, however, take days to provide the diagnosis, and false negative rate is …
Spatio-temporal hybrid fusion of cae and swin transformers for lung cancer malignancy prediction
The paper proposes a novel hybrid discovery Radiomics framework that simultaneously
integrates temporal and spatial features extracted from non-thin chest Computed …
integrates temporal and spatial features extracted from non-thin chest Computed …
COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray
T Agrawal, P Choudhary - Multimedia Systems, 2023 - Springer
The coronavirus disease 2019, initially named 2019-nCOV (COVID-19) has been declared a
global pandemic by the World Health Organization in March 2020. Because of the growing …
global pandemic by the World Health Organization in March 2020. Because of the growing …
Basic Research on Machine Vision Underpinned by Image Frame Algebra (VFA) and Visual Semantic Algebra (VSA)
Y Wang - 2023 7th International Conference on Machine Vision …, 2023 - ieeexplore.ieee.org
Computer vison [1],[2],[3],[4],[5] studies properties of machine vision, its semantic
understanding, and general manipulations by Intelligent Mathematics (IM)[6],[7],[8],[9],[10][11 …
understanding, and general manipulations by Intelligent Mathematics (IM)[6],[7],[8],[9],[10][11 …
A hybrid deep neural approach for segmenting the COVID affection area from the lungs X-ray images
T Vijayanandh, A Shenbagavalli - New Generation Computing, 2023 - Springer
Nowadays, COVID severity prediction has attracted widely in medical research because of
the disease severity. Hence, the image processing application is also utilized to analyze …
the disease severity. Hence, the image processing application is also utilized to analyze …
Machine Learning Performances for Covid-19 Images Classification based Histogram of Oriented Gradients Features
Y Jusman, W Tyassari, D Nisrina… - … IOT, Electronics and …, 2022 - ieeexplore.ieee.org
Coronavirus disease (Covid-19) is an infectious disease that attacks the respiratory area
caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the …
caused by the severe acute respiratory syndrome (SARS-CoV-2) virus. According to the …
Denoised CT Images Quality Assessment Through COVID-19 Pneumonia Detection Task
Medical images largely contribute to the diagnosis of lung diseases, especially pneumonia,
an inflammation of lungs tissue. Since the emergence of COVID-19 in late 2019, medical …
an inflammation of lungs tissue. Since the emergence of COVID-19 in late 2019, medical …
Cae-transformer: Transformer-based model to predict invasiveness of lung adenocarcinoma subsolid nodules from non-thin section 3d ct scans
Lung cancer is the leading cause of mortality from cancer worldwide and has various
histologic types, among which Lung Adenocarcinoma (LUAC) has recently been the most …
histologic types, among which Lung Adenocarcinoma (LUAC) has recently been the most …