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  • Open Access


    Detection of Lung Nodules on X-ray Using Transfer Learning and Manual Features

    Imran Arshad Choudhry*, Adnan N. Qureshi

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1445-1463, 2022, DOI:10.32604/cmc.2022.025208

    Abstract The well-established mortality rates due to lung cancers, scarcity of radiology experts and inter-observer variability underpin the dire need for robust and accurate computer aided diagnostics to provide a second opinion. To this end, we propose a feature grafting approach to classify lung cancer images from publicly available National Institute of Health (NIH) chest X-Ray dataset comprised of 30,805 unique patients. The performance of transfer learning with pre-trained VGG and Inception models is evaluated in comparison against manually extracted radiomics features added to convolutional neural network using custom layer. For classification with both approaches, Support… More >

  • Open Access


    Cetyltrimethylammonium bromide inhibits the metastasis of breast cancer to the lungs by inhibiting epithelial–mesenchymal transition


    BIOCELL, Vol.46, No.6, pp. 1473-1482, 2022, DOI:10.32604/biocell.2022.018278

    Abstract Breast cancer is a highly aggressive cancer in females. Metastasis is a major obstacle to the efficient and successful treatment of breast cancer. Cetyltrimethylammonium bromide (CTAB) has anti-tumor effects on a variety of tumors. We showed that CTAB inhibits the metastasis of breast cancer to the lungs both in vitro and in vivo. Epithelial-mesenchymal transition (EMT) is thought to be one of the major processes mediating breast cancer metastasis. We found that CTAB suppressed EMT and regulated the levels of the classical EMT markers E-cadherin, N-cadherin, vimentin, Snail and Twist1. Moreover, as a candidate anti-tumor agent, CTAB More >

  • Open Access


    A New Medical Image Enhancement Algorithm Based on Fractional Calculus

    Hamid A. Jalab1,*, Rabha W. Ibrahim2, Ali M. Hasan3, Faten Khalid Karim4, Ala’a R. Al-Shamasneh1, Dumitru Baleanu5,6,7

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1467-1483, 2021, DOI:10.32604/cmc.2021.016047

    Abstract The enhancement of medical images is a challenging research task due to the unforeseeable variation in the quality of the captured images. The captured images may present with low contrast and low visibility, which might influence the accuracy of the diagnosis process. To overcome this problem, this paper presents a new fractional integral entropy (FITE) that estimates the unforeseeable probabilities of image pixels, posing as the main contribution of the paper. The proposed model dynamically enhances the image based on the image contents. The main advantage of FITE lies in its capability to enhance the… More >

  • Open Access


    A Hybrid Approach for the Lung(s) Nodule Detection Using the Deformable Model and Distance Transform

    Ayyaz Hussain1, Mohammed Alawairdhi2, Fayez Alazemi3, Sajid Ali Khan4, Muhammad Ramzan2,*

    Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 857-871, 2020, DOI:10.32604/iasc.2020.010120

    Abstract The Computer Aided Diagnosis (CAD) systems are gaining more recognition and being used as an aid by clinicians for detection and interpretation of diseases every passing day due to their increasing accuracy and reliability. The lung(s) nodule detection is a very crucial and difficult step for CAD systems. In this paper, a hybrid approach for the lung nodule detection using a deformable model and distance transform has been proposed. The proposed method has the ability to detect all major kinds of nodules such as the juxta-plueral, isolated, and the juxta-vescular, along with the non-solid nodules More >

  • Open Access


    Dimensionless Study on Secretion Clearance of a Pressure Controlled Mechanical Ventilation System with Double Lungs

    Dongkai Shen1,2,+, Qian Zhang1, Yixuan Wang1,*, Huiqing Ge3,*, Zujin Luo4,+

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 117-139, 2018, DOI:10.3970/cmes.2018.114.117

    Abstract A pressure controlled mechanical ventilator with an automatic secretion clearance function can improve secretion clearance safely and efficiently. Studies on secretion clearance by pressure controlled systems show that these are suited for clinical applications. However, these studies are based on a single lung electric model and neglect the coupling between the two lungs. The research methods applied are too complex for the analysis of a multi-parameter system. In order to understand the functioning of the human respiratory system, this paper develops a dimensionless mathematical model of double-lung mechanical ventilation system with a secretion clearance function. More >

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