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  • Open Access

    ARTICLE

    Diagnosis of COVID-19 Infection Using Three-Dimensional Semantic Segmentation and Classification of Computed Tomography Images

    Javaria Amin1, Muhammad Sharif2, Muhammad Almas Anjum3, Yunyoung Nam4,*, Seifedine Kadry5, David Taniar6

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2451-2467, 2021, DOI:10.32604/cmc.2021.014199 - 13 April 2021

    Abstract Coronavirus 19 (COVID-19) can cause severe pneumonia that may be fatal. Correct diagnosis is essential. Computed tomography (CT) usefully detects symptoms of COVID-19 infection. In this retrospective study, we present an improved framework for detection of COVID-19 infection on CT images; the steps include pre-processing, segmentation, feature extraction/fusion/selection, and classification. In the pre-processing phase, a Gabor wavelet filter is applied to enhance image intensities. A marker-based, watershed controlled approach with thresholding is used to isolate the lung region. In the segmentation phase, COVID-19 lesions are segmented using an encoder-/decoder-based deep learning model in which deepLabv3… More >

  • Open Access

    ARTICLE

    Multiclass Stomach Diseases Classification Using Deep Learning Features Optimization

    Muhammad Attique Khan1, Abdul Majid1, Nazar Hussain1, Majed Alhaisoni2, Yu-Dong Zhang3, Seifedine Kadry4, Yunyoung Nam5,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3381-3399, 2021, DOI:10.32604/cmc.2021.014983 - 01 March 2021

    Abstract In the area of medical image processing, stomach cancer is one of the most important cancers which need to be diagnose at the early stage. In this paper, an optimized deep learning method is presented for multiple stomach disease classification. The proposed method work in few important steps—preprocessing using the fusion of filtering images along with Ant Colony Optimization (ACO), deep transfer learning-based features extraction, optimization of deep extracted features using nature-inspired algorithms, and finally fusion of optimal vectors and classification using Multi-Layered Perceptron Neural Network (MLNN). In the feature extraction step, pre-trained Inception V3… More >

  • Open Access

    ARTICLE

    Numerical Study of Airborne Droplets Propagation Inside a Hospital Consulting Room

    Yu Zhou1,*, Shen Ji2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.1, pp. 189-200, 2021, DOI:10.32604/fdmp.2021.011744 - 09 February 2021

    Abstract The outbreak of Corona Virus (COVID-19) has spread over a large number of countries. The virus is typically transported inside liquid droplets produced by human beings. As a result, doctors operating in the consulting rooms of hospitals are potentially exposed to high risk. Taking into account the evaporation of droplets and using a hybrid Eulerian-Lagrangian framework to determine the airflow pattern and corresponding motion of droplets, in the present study, the motion of droplets is investigated with regard to the situation in which doctors check patients in front of their bed. A turbulence model (RNG k-ɛ) More >

  • Open Access

    ARTICLE

    Impact of Temperature on Upper Respiratory Tract Infections in Lanzhou Based on the Distributed Lag Model

    Guangyu Zhai1,2, Kuan Zhang2, Guorong Chai1,*

    Molecular & Cellular Biomechanics, Vol.18, No.1, pp. 21-31, 2021, DOI:10.32604/mcb.2021.014287 - 26 January 2021

    Abstract The study mainly analyzed the relationship between temperature and the upper respiratory tract infections (URI) in Lanzhou. We collected the daily URI and meteorological data from 2010 to 2015. A distributed lag non-linear model was used to examine the relationship and potential effects of different temperatures and different lag days on the morbidity of URI. The results showed that the morbidity of URI was significantly related to the meteorological factors, and the peak of the onset of the disease usually occurred between November and February the next year. The correlation analysis was carried out between… More >

  • Open Access

    ARTICLE

    Coronavirus: A “Mild” Virus Turned Deadly Infection

    Rizwan Ali Naqvi1, Muhammad Faheem Mushtaq2, Natash Ali Mian3, Muhammad Adnan Khan4,*, Atta-ur-Rahman5, Muhammad Ali Yousaf6, Muhammad Umair6, Rizwan Majeed7

    CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2631-2646, 2021, DOI:10.32604/cmc.2021.012167 - 05 February 2021

    Abstract Coronaviruses are a family of viruses that can be transmitted from one person to another. Earlier strains have only been mild viruses, but the current form, known as coronavirus disease 2019 (COVID-19), has become a deadly infection. The outbreak originated in Wuhan, China, and has since spread worldwide. The symptoms of COVID-19 include a dry cough, sore throat, fever, and nasal congestion. Antimicrobial drugs, pathogen–host interaction, and 2 weeks of isolation have been recommended for the treatment of the infection. Safe operating procedures, such as the use of face masks, hand sanitizer, handwashing with soap,… More >

  • Open Access

    ARTICLE

    Fuzzy Based Decision Making Approach for Evaluating the Severity of COVID-19 Pandemic in Cities of Kingdom of Saudi Arabia

    Abdullah Baz1,*, Hosam Alhakami2

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1155-1174, 2021, DOI:10.32604/cmc.2020.013215 - 26 November 2020

    Abstract The World Health Organization declared COVID-19 a pandemic on March 11, 2020 stating that it is a worldwide danger and requires imminent preventive strategies to minimise the loss of lives. COVID-19 has now affected millions across 211 countries in the world and the numbers continue to rise. The information discharged by the WHO till June 15, 2020 reports 8,063,990 cases of COVID-19. As the world thinks about the lethal malady for which there is yet no immunization or a predefined course of drug, the nations are relentlessly working at the most ideal preventive systems to… More >

  • Open Access

    REVIEW

    Changes in Phyto-Chemical Status upon Viral Infections in Plant: A Critical Review

    Tehmina Bahar1,*, Adeeba Mahboob Qureshi1, Fasiha Qurashi1,2, Muniba Abid1, Misbah Batool Zahra1, Muhammad Saleem Haider1

    Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 75-86, 2021, DOI:10.32604/phyton.2020.010597 - 20 November 2020

    Abstract Most damaging plant diseases have been caused by viruses in the entire world. In tropical and subtropical areas, the damage caused by plant virus leads to great economic and agricultural losses. Single stranded DNA viruses (geminiviruses) are the most perilous pathogens which are responsible for major diseases in agronomic and horticultural crops. Significantly begomoviruses and mastreviruses are the biggest genus of plant infecting viruses, transmitted though Bemisia tabaci and members of Cicadellidae respectively. Plants possesses some naturally existing chemicals term as phyto-chemicals which perform important functions in the plant. Some antioxidant enzymes are used by plants for… More >

  • Open Access

    ARTICLE

    Phytohormonal and metabolism analysis of Brassica rapa L. ssp. pekinensis with different resistance during Plasmodiophora brassicae infection

    MEI LAN#, JINGFENG HU#, HONGLI YANG, LIQIN ZHANG, XUEZHONG XU, JIANGMING HE*

    BIOCELL, Vol.44, No.4, pp. 751-767, 2020, DOI:10.32604/biocell.2020.012954 - 24 December 2020

    Abstract Clubroot of Chinese cabbage (Brassica rapa L. ssp. pekinensis), caused by the obligate parasite Plasmodiophora brassicae, accounts for serious yield losses. The aim of our study was to explore the phytohormone levels and metabolome changes in the roots of resistant and susceptible B. rapa genotypes at a late stage of infection, i.e., 28 days post-infection. Both genotypes showed decreased auxin levels after P. brassicae infection except for indole-3-acetic acid. Overall, the susceptible genotype had higher auxin and cytokinin levels after infection, with the exception of trans-zeatin and 3- indolebutyric acid as compared to the resistant genotype. Jasmonic acid levels declined… More >

  • Open Access

    ARTICLE

    Managing the Adult Congenital Heart Disease Patient in the COVID-19 Pandemic—A New York Perspective

    Jodi L. Feinberg1, Frank Cecchin1,2, Arianna Gonzalez1, Emily Johnson2, Dan G. Halpern1,*

    Congenital Heart Disease, Vol.15, No.3, pp. 141-146, 2020, DOI:10.32604/CHD.2020.012039 - 15 July 2020

    Abstract Adults with congenital heart disease (ACHD) are likely at increased risk for complications of COVID-19. ACHD centers should prepare to deliver routine cardiac care and support for patients with COVID-19 safely at home, as the number of COVID-19 infections worldwide continues to increase. This brief report aims to share the strategies we have used in our ACHD program to manage and treat our patients during this global health crisis at one of the initial epicenters of the pandemic in New York City, and offer suggestions for preparation for ACHD clinicians. More >

  • Open Access

    ARTICLE

    Detection of new antibiotic resistance gene profile in Escherichia coli associated with avian leukosis virus infection from broiler chickens

    HAIFENG WANG1,2,*, JUAN GUO1, LIJING ZHENG1, SHUYING LIU1, ZHERONG WANG1, HONGXUAN HE2

    BIOCELL, Vol.44, No.2, pp. 217-224, 2020, DOI:10.32604/biocell.2020.09051 - 27 May 2020

    Abstract The Escherichia coli (E. coli) is prevailing worldwide, but the epidemiology of E. coli infections feature regional distribution characteristics to some extent. E. coli, as a zoonotic pathogen, can be transferred from animals to humans through food chain or via contact with wounds, causing a public health risk. We reported the swelling of proventriculus and tracheal bleeding following the death in two broiler chickens (Gallus gallus domesticus) from Beijing, China. To investigate whether a virus was involved in the infection, Madin Darby Bovine Kidney (MDCK) cells were co-cultured with supernatants of proventriculus, trachea and spleen homogenates. The avian leucosis virus… More >

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