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  • Open Access

    ARTICLE

    Intelligent Medical Diagnostic System for Hepatitis B

    Dalwinder Singh1, Deepak Prashar1, Jimmy Singla1, Arfat Ahmad Khan2, Mohammed Al-Sarem3,4,*, Neesrin Ali Kurdi3

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6047-6068, 2022, DOI:10.32604/cmc.2022.031255 - 28 July 2022

    Abstract The hepatitis B virus is the most deadly virus, which significantly affects the human liver. The termination of the hepatitis B virus is mandatory and can be done by taking precautions as well as a suitable cure in its introductory stage; otherwise, it will become a severe problem and make a human liver suffer from the most dangerous diseases, such as liver cancer. In this paper, two medical diagnostic systems are developed for the diagnosis of this life-threatening virus. The methodologies used to develop these models are fuzzy logic and the neuro-fuzzy technique. The diverse… More >

  • Open Access

    ARTICLE

    Diagnostic Yield of Non-Invasive Testing in Patients with Anomalous Aortic Origin of Coronary Arteries: A Multicentric Experience

    Alberto Cipriani1,#, Pietro Bernardo Dall’Aglio1,#, Laura Mazzotta1, Domenico Sirico2, George Sarris3, Mark Hazekamp4, Thierry Carrel5, Alessandro Frigiola6, Vladimir Sojak4, Mauro Lo Rito6, Jurgen Horer7, Regine Roussin7, Julie Cleuziou8, Bart Meyns9, Jose Fragata10, Helena Telles10, Anastasios C. Polimenakos11, Katrien Francois12, Altin Veshti13, Jukka Salminen14, Alvaro Gonzalez Rocafort15, Matej Nosal16, Eleftherios Protopapas3, Roberto Tumbarello17, Patrizio Sarto18, Cinzia Pegoraro18, Raffaella Motta19, Giovanni Di Salvo2, Domenico Corrado1, Vladimiro L. Vida1, Massimo A. Padalino1,2,*

    Congenital Heart Disease, Vol.17, No.4, pp. 375-385, 2022, DOI:10.32604/chd.2022.019385 - 04 July 2022

    Abstract Background: Anomalous aortic origin of a coronary artery (AAOCA) is a congenital heart disease with a 0.3%−0.5% prevalence. Diagnosis is challenging due to nonspecific clinical presentation. Risk stratification and treatment are currently based on expert consensus and single-center case series. Methods: Demographical and clinical data of AAOCA patients from 17 tertiary-care centers were analyzed. Diagnostic imaging studies (Bidimensional echocardiography, coronary computed tomography angiography [CCTA] were collected. Clinical correlations with anomalous coronary course and origin were evaluated. Results: Data from 239 patients (42% males, mean age 15 y) affected by AAOCA were collected; 154 had AAOCA involving the… More > Graphic Abstract

    Diagnostic Yield of Non-Invasive Testing in Patients with Anomalous Aortic Origin of Coronary Arteries: A Multicentric Experience

  • Open Access

    ARTICLE

    Meta-heuristics for Feature Selection and Classification in Diagnostic Breast Cancer

    Doaa Sami Khafaga1, Amel Ali Alhussan1,*, El-Sayed M. El-kenawy2,3, Ali E. Takieldeen3, Tarek M. Hassan4, Ehab A. Hegazy5, Elsayed Abdel Fattah Eid6, Abdelhameed Ibrahim7, Abdelaziz A. Abdelhamid8,9

    CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 749-765, 2022, DOI:10.32604/cmc.2022.029605 - 18 May 2022

    Abstract One of the most common kinds of cancer is breast cancer. The early detection of it may help lower its overall rates of mortality. In this paper, we robustly propose a novel approach for detecting and classifying breast cancer regions in thermal images. The proposed approach starts with data preprocessing the input images and segmenting the significant regions of interest. In addition, to properly train the machine learning models, data augmentation is applied to increase the number of segmented regions using various scaling ratios. On the other hand, to extract the relevant features from the… More >

  • Open Access

    ARTICLE

    Decision Level Fusion Using Hybrid Classifier for Mental Disease Classification

    Maqsood Ahmad1,2, Noorhaniza Wahid1, Rahayu A Hamid1, Saima Sadiq2, Arif Mehmood3, Gyu Sang Choi4,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5041-5058, 2022, DOI:10.32604/cmc.2022.026077 - 21 April 2022

    Abstract Mental health signifies the emotional, social, and psychological well-being of a person. It also affects the way of thinking, feeling, and situation handling of a person. Stable mental health helps in working with full potential in all stages of life from childhood to adulthood therefore it is of significant importance to find out the onset of the mental disease in order to maintain balance in life. Mental health problems are rising globally and constituting a burden on healthcare systems. Early diagnosis can help the professionals in the treatment that may lead to complications if they… More >

  • Open Access

    ARTICLE

    A Novel Convolutional Neural Network Model for Malaria Cell Images Classification

    Esraa Hassan1,3,*, Mahmoud Y. Shams1, Noha A. Hikal2, Samir Elmougy3

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5889-5907, 2022, DOI:10.32604/cmc.2022.025629 - 21 April 2022

    Abstract Infectious diseases are an imminent danger that faces human beings around the world. Malaria is considered a highly contagious disease. The diagnosis of various diseases, including malaria, was performed manually, but it required a lot of time and had some human errors. Therefore, there is a need to investigate an efficient and fast automatic diagnosis system. Deploying deep learning algorithms can provide a solution in which they can learn complex image patterns and have a rapid improvement in medical image analysis. This study proposed a Convolutional Neural Network (CNN) model to detect malaria automatically. A More >

  • Open Access

    ARTICLE

    A New Diagnostic Method Applied to Gearbox Missing Gear Faults ——LOD-ICA

    Lida Liao1, Bo Xiao1,2,*, Kan Huang1,*, Bin Huang1,3, Kang Zhang1

    Energy Engineering, Vol.119, No.3, pp. 1219-1238, 2022, DOI:10.32604/ee.2022.017471 - 31 March 2022

    Abstract With the increasingly stringent requirements for carbon emissions, countries have increased the scale of clean energy use in recent years. As an important new clean energy source, the ratio of wind power in energy utilization has been increasing. The horizontal axis wind turbine is the main form of wind power generation, which is subject to random wind loads during operation and is prone to various failures after a long period of operation, resulting in reduced power generation efficiency or even shutdown. In order to ensure stable external power transmission, it is necessary to perform fault… More >

  • Open Access

    REVIEW

    Leucémie à Tricholeucocytes et Autres Proliférations à Cellules Chevelues: Diagnostic et Traitement

    Elsa Maitre, Xavier Troussard*

    Oncologie, Vol.24, No.1, pp. 3-24, 2022, DOI:10.32604/oncologie.2022.021490 - 31 March 2022

    Abstract La leucémie à tricholeucocytes (LT) représente 2% de l’ensemble des leucémies. Le diagnostic repose sur la présence dans le sang et/ou la moelle de tricholeucocytes: cellules lymphoïdes B au cytoplasme chevelu exprimant le CD103, CD123, CD11c et CD25. La mutation BRAFV600E, marqueur moléculaire de la maladie, est présente dans plus de 80% des cas. La LT doit être distinguée des autres syndromes lymphoprolifératifs chroniques B, notamment des autres proliférations à cellules chevelues, forme variante de la leucémie à tricholeucocytes (LT-V) et lymphome splé- nique diffus de la pulpe rouge (LSDPR). Des progrès thérapeutiques ont été récemment… More >

  • Open Access

    VIEWPOINT

    Prognostic, diagnostic and therapeutic potential of endothelial progenitor cells for patients with ischaemic stroke: Hype or Hope

    ULVI BAYRAKTUTAN*

    BIOCELL, Vol.46, No.7, pp. 1593-1598, 2022, DOI:10.32604/biocell.2022.018679 - 17 March 2022

    Abstract Ischaemic stroke is a debilitating disease with immense personal, societal and economic impact. Thrombolysis with recombinant tissue plasminogen activator remains the only approved pharmacotherapy for this disease. As each year less than 1% of eligible patients receive this therapy worldwide, efficacious new therapeutics are desperately needed. Emerging evidence suggest endothelial progenitor cells (EPCs), capable of repairing damaged vasculature, as one such therapeutics. However, questions regarding their optimal dose, delivery route and in vivo survivability remain largely unanswered. Outgrowth endothelial cells, generated in large numbers by ex vivo expansion of EPCs, enable effective assessment of these More >

  • Open Access

    ARTICLE

    A Chaotic Oppositional Whale Optimisation Algorithm with Firefly Search for Medical Diagnostics

    Milan Tair1, Nebojsa Bacanin1, Miodrag Zivkovic1, K. Venkatachalam2,*

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 959-982, 2022, DOI:10.32604/cmc.2022.024989 - 24 February 2022

    Abstract There is a growing interest in the study development of artificial intelligence and machine learning, especially regarding the support vector machine pattern classification method. This study proposes an enhanced implementation of the well-known whale optimisation algorithm, which combines chaotic and opposition-based learning strategies, which is adopted for hyper-parameter optimisation and feature selection machine learning challenges. The whale optimisation algorithm is a relatively recent addition to the group of swarm intelligence algorithms commonly used for optimisation. The Proposed improved whale optimisation algorithm was first tested for standard unconstrained CEC2017 benchmark suite and it was later adapted More >

  • Open Access

    ARTICLE

    Multi-Scale Network for Thoracic Organs Segmentation

    Muhammad Ibrahim Khalil1, Samabia Tehsin1, Mamoona Humayun2, N.Z Jhanjhi3,4,*, Mohammed A. AlZain5

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3251-3265, 2022, DOI:10.32604/cmc.2022.020561 - 27 September 2021

    Abstract Medical Imaging Segmentation is an essential technique for modern medical applications. It is the foundation of many aspects of clinical diagnosis, oncology, and computer-integrated surgical intervention. Although significant successes have been achieved in the segmentation of medical images, DL (deep learning) approaches. Manual delineation of OARs (organs at risk) is vastly dominant but it is prone to errors given the complex irregularities in shape, low texture diversity between tissues and adjacent blood area, patient-wide location of organisms, and weak soft tissue contrast across adjacent organs in CT images. Till now several models have been implemented… More >

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