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  • Open Access

    ARTICLE

    Optimal Deep Learning Based Inception Model for Cervical Cancer Diagnosis

    Tamer AbuKhalil1, Bassam A. Y. Alqaralleh2,*, Ahmad H. Al-Omari3

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 57-71, 2022, DOI:10.32604/cmc.2022.024367

    Abstract Prevention of cervical cancer becomes essential and is carried out by the use of Pap smear images. Pap smear test analysis is laborious and tiresome work performed visually using a cytopathologist. Therefore, automated cervical cancer diagnosis using automated methods are necessary. This paper designs an optimal deep learning based Inception model for cervical cancer diagnosis (ODLIM-CCD) using pap smear images. The proposed ODLIM-CCD technique incorporates median filtering (MF) based pre-processing to discard the noise and Otsu model based segmentation process. Besides, deep convolutional neural network (DCNN) based Inception with Residual Network (ResNet) v2 model is utilized for deriving the feature… More >

  • Open Access

    ARTICLE

    Intelligent Classification Model for Biomedical Pap Smear Images on IoT Environment

    CSS Anupama1, T. J. Benedict Jose2, Heba F. Eid3, Nojood O Aljehane4, Fahd N. Al-Wesabi5,*, Marwa Obayya6, Anwer Mustafa Hilal7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3969-3983, 2022, DOI:10.32604/cmc.2022.022701

    Abstract Biomedical images are used for capturing the images for diagnosis process and to examine the present condition of organs or tissues. Biomedical image processing concepts are identical to biomedical signal processing, which includes the investigation, improvement, and exhibition of images gathered using x-ray, ultrasound, MRI, etc. At the same time, cervical cancer becomes a major reason for increased women's mortality rate. But cervical cancer is an identified at an earlier stage using regular pap smear images. In this aspect, this paper devises a new biomedical pap smear image classification using cascaded deep forest (BPSIC-CDF) model on Internet of Things (IoT)… More >

  • Open Access

    REVIEW

    Cervical cancer situation in Malaysia: A systematic literature review

    WAN AZANI MUSTAFA1,2,*, AFIQAH HALIM2, MOHD WAFI NASRUDIN2, KHAIRUL SHAKIR AB RAHMAN3

    BIOCELL, Vol.46, No.2, pp. 367-381, 2022, DOI:10.32604/biocell.2022.016814

    Abstract Cervix cancer is one of Malaysia’s most significant cancers for women (around 12.9%, with an age-standardised incidence rate of 19.7 per 100,000). It was higher than other Asian, West, and even worldwide nations. The National Strategic Plan for Cancer Control Program 2016–2020 (Health Ministry) was presented to minimize cancer and mortality. The high incidence of cervical cancer in Malaysia is mainly due to women’s insufficient knowledge about its prevention and importance. Compared with traditional literature reviews, the systemic analysis provides many advantages. A clearer review process, a more prominent field of study, and essential priorities that can manage research bias… More >

  • Open Access

    ARTICLE

    Optimal Deep Convolution Neural Network for Cervical Cancer Diagnosis Model

    Mohamed Ibrahim Waly1, Mohamed Yacin Sikkandar1, Mohamed Abdelkader Aboamer1, Seifedine Kadry2, Orawit Thinnukool3,*

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3295-3309, 2022, DOI:10.32604/cmc.2022.020713

    Abstract Biomedical imaging is an effective way of examining the internal organ of the human body and its diseases. An important kind of biomedical image is Pap smear image that is widely employed for cervical cancer diagnosis. Cervical cancer is a vital reason for increased women’s mortality rate. Proper screening of pap smear images is essential to assist the earlier identification and diagnostic process of cervical cancer. Computer-aided systems for cancerous cell detection need to be developed using deep learning (DL) approaches. This study introduces an intelligent deep convolutional neural network for cervical cancer detection and classification (IDCNN-CDC) model using biomedical… More >

  • Open Access

    ARTICLE

    Design of Computer Methods for the Solution of Cervical Cancer Epidemic Model

    Ali Raza1, Muhammad Rafiq2, Dalal Alrowaili3, Nauman Ahmed4, Ilyas Khan5,*, Kottakkaran Sooppy Nisar6, Muhammad Mohsin7

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1649-1666, 2022, DOI:10.32604/cmc.2022.019148

    Abstract Nonlinear modelling has a significant role in different disciplines of sciences such as behavioral, social, physical and biological sciences. The structural properties are also needed for such types of disciplines, as dynamical consistency, positivity and boundedness are the major requirements of the models in these fields. One more thing, this type of nonlinear model has no explicit solutions. For the sake of comparison its computation will be done by using different computational techniques. Regrettably, the aforementioned structural properties have not been restored in the existing computational techniques in literature. Therefore, the construction of structural preserving computational techniques are needed. The… More >

  • Open Access

    ARTICLE

    Invasive Stratified Mucin-Producing Carcinoma (ISMC) of the uterine cervix: An analysis of 6 cases with distinctive clinicopathological features

    TING LAN, SHENG QIN, XIAOJIN GONG, PING ZHENG, JIAXIN YAN, YANG LIU*

    BIOCELL, Vol.45, No.5, pp. 1313-1319, 2021, DOI:10.32604/biocell.2021.015923

    Abstract Invasive stratified mucin-producing carcinoma (ISMC) is a recently described histologic variant of high-risk human papillomavirus (HPV)-associated endocervical adenocarcinoma, as the putative invasive counterpart of the stratified mucin-producing intraepithelial lesion (SMILE). ISMC can display variable architectural patterns and usually coexists with other more conventional types of HPV-associated carcinomas, which makes diagnosis and differential diagnosis of ISMC is difficult for pathologists. Moreover, the prognosis of ISMC is still controversial. We analyzed 6 ISMCs with detailed pathological and clinical information. Intraepithelial lesion, including 1 high-grade squamous intraepithelial lesion and 1 SMILE, was found. Various architectures were observed (including nest, glandular, solid, trabecular, and… More >

  • Open Access

    ARTICLE

    Awareness of Human Papilloma Virus and Its Association with Cervical Cancer among Female University Students: A Study from United Arab Emirates

    Madhumitha Kedhari Sundaram1, Abdulmajeed G. Almutary2, Shafiul Haque3, Faheem SM1, Arif Hussain1,*

    Oncologie, Vol.23, No.2, pp. 269-277, 2021, DOI:10.32604/Oncologie.2021.016002

    Abstract Cervical cancer is the neoplasm of the uterine cervix in women, which is highly preventable. With the advent of vaccination against HPV infection, a gradual decline in the incidence of cervical cancer cases has been observed in developing countries. The developing nations bear the brunt of cervical cancer incidence due to low acceptance of vaccination. This survey-based study was designed to assess the awareness and opinions of female university students regarding human papilloma virus, vaccination and cervical cancer. A survey questionnaire was distributed among female expatriate students (18 to 26 years of age) of a private university. The survey sought… More >

  • Open Access

    ARTICLE

    Growth and Invasion of 3D Spheroid Tumor of HeLa and CasKi Cervical Cancer Cells

    Kalaivani Muniandy1, Zuhaida Asra Ahmad1,4, Sylvia Annabel Dass1, Shaharum Shamsuddin2, Nethia Mohana Kumaran3, Venugopal Balakrishnan1,*

    Oncologie, Vol.23, No.2, pp. 279-291, 2021, DOI:10.32604/Oncologie.2021.015969

    Abstract Spheroids are generally self-assembled cells with the ability to generate their extracellular matrix, including the complex cell-matrix and the cell-cell interactions that resemble the functional characteristics of the corresponding tissue in vivo. The study aimed to develop a three-dimensional (3D) spheroid system for the cervical cancer cell lines, HeLa (HPV18), CaSki (HPV16), SiHa (HPV16), C33A (non-HPV), HT3 (non-HPV) as well as to identify its biological activity in the extracellular form. For the formation of the cervical cancer spheroids, the liquid overlay approach was applied, followed by embedding to the bovine collagen I matrix. Spheroid formation using the liquid overlay approach… More >

  • Open Access

    REVIEW

    Nucleus Detection on Pap Smear Images for Cervical Cancer Diagnosis: A Review Analysis

    Afiqah Halim1, Wan Azani Mustafa1,2,*, Wan Khairunizam Wan Ahmad1, Hasliza A. Rahim2, Hamzah Sakeran3

    Oncologie, Vol.23, No.1, pp. 73-88, 2021, DOI:10.32604/Oncologie.2021.015154

    Abstract Cervical cancer is a cell disease in the cervix that develops out of control in the female body. The cervix links the vagina (birth canal) with the upper section of the uterus, which can only be found in the female body. This is the second leading cause of death among women around the world. However, cervical cancer is currently one of the most preventable cancers if early detection is identified. The effect of unidentified cancer may increase the risk of death when the cell disease spreads to other parts of the female anatomy (metastasize). The Papanicolaou test is a cervical… More >

  • Open Access

    ARTICLE

    Cervical Diseases Prediction Using LHVR Techniques

    Praveena Rajasekaran*, Preetha Jaganathan, Anjali Annadurai

    Computer Systems Science and Engineering, Vol.36, No.3, pp. 477-484, 2021, DOI:10.32604/csse.2021.014247

    Abstract The stabilizing mechanisms of cervical spine spondylosis are involved in the degenerating segmentation vertebra, which often causes pain. Health of the individual is affected, both physically and mentally. Due to depression, nervousness, and psychological damages occur thereby losing their human activity functions. The nucleus pulposus of spinal disc herniation is prolapsed through a deficiency of annulus fibrosus. A jelly-like core part of the disc contains proteins that cause the tissues to become swollen when it touches the nucleus pulposus. The proposed Gradient Linear Classification (GLC) algorithm is used for the efficient automatic classification of disc degeneration herniation of Inter vertebral/… More >

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