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Search Results (9)
  • Open Access

    ARTICLE

    Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images

    Arslan Akram1,2, Javed Rashid2,3,4, Fahima Hajjej5, Sobia Yaqoob1,6, Muhammad Hamid7, Asma Irshad8, Nadeem Sarwar9,*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1081-1101, 2023, DOI:10.32604/cmc.2023.041558

    Abstract Around one in eight women will be diagnosed with breast cancer at some time. Improved patient outcomes necessitate both early detection and an accurate diagnosis. Histological images are routinely utilized in the process of diagnosing breast cancer. Methods proposed in recent research only focus on classifying breast cancer on specific magnification levels. No study has focused on using a combined dataset with multiple magnification levels to classify breast cancer. A strategy for detecting breast cancer is provided in the context of this investigation. Histopathology image texture data is used with the wavelet transform in this technique. The proposed method comprises… More >

  • Open Access

    ARTICLE

    Melanoma Detection Based on Hybridization of Extended Feature Space

    Anuj Kumar, Shakti Kumar*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2175-2198, 2023, DOI:10.32604/iasc.2023.039093

    Abstract Melanoma is a perfidious form of skin cancer. The study offers a hybrid framework for the automatic classification of melanoma. An Automatic Melanoma Detection System (AMDS) is used for identifying melanoma from the infected area of the skin image using image processing techniques. A larger number of pre-existing automatic melanoma detection systems are either commercial or their accuracy can be further improved. The research problem is to identify the best preprocessing technique, feature extractor, and classifier for melanoma detection using publically available MED-NODE data set. AMDS goes through four stages. The preprocessing stage is for noise removal; the segmentation stage… More >

  • Open Access

    ARTICLE

    Capsaicin exerts anti-benign prostatic hyperplasia effects via inhibiting androgen receptor signaling pathway

    ZICHEN SHAO1,2,#, CHUNG-YI CHEN3,#, XUZHOU CHEN1, HANWU CHEN1, MENGQIAO SU1,2, HUI SUN1,2, YIDAN LI1,2, BINGHUA TU1, ZITONG WANG1, CHI-MING LIU1,*

    BIOCELL, Vol.47, No.6, pp. 1389-1396, 2023, DOI:10.32604/biocell.2023.028222

    Abstract Background: Benign prostatic hyperplasia (BPH) is a common condition in middle-aged and elderly men. Enlargement of the prostate causes lower urinary tract symptoms. Capsaicin is a phytochemical extracted from chili peppers and exerts many pharmacological actions, such as anti-tumor and anti-inflammatory effects. Methods: Our study investigated the effect of capsaicin in vitro and in a mouse model in vivo. A prostatic stromal myofibroblast cell line (WPMY-1) was co-incubated with testosterone (1 µM) and different concentrations of capsaicin (10–100 µM) for 24 and 48 h. Capsaicin (10–100 µM) significantly inhibited testosterone-treated WPMY-1 cell growth at 48 h by MTT assay. The… More >

  • Open Access

    ARTICLE

    Longitudinal Relationship between Gratitude and Benign/Malicious Envy: Evidence from a Cross-Lagged Analysis

    Liying Zhang, Lijun Yang*

    International Journal of Mental Health Promotion, Vol.24, No.2, pp. 277-286, 2022, DOI:10.32604/ijmhp.2022.018640

    Abstract Though prior research has identified that gratitude is associated with benign/malicious envy (BeMaS). The purpose of this study was to explore the causal relationship between gratitude and BeMaS among Chinese adolescents. The two-wave study, in which 906 adolescents participated, includes measurements of gratitude and BeMaS. We employed the structural equation models to test the cross-lagged effect between trait gratitude and BeMaS. The results showed that gratitude could positively predict benign envy and could negatively predict malicious envy. Besides, there was no evidence for the reverse or reciprocal relationships between gratitude and BeMaS. The findings provide further evidence about the causal… More >

  • Open Access

    ARTICLE

    Development of Efficient Classification Systems for the Diagnosis of Melanoma

    S. Palpandi1,*, T. Meeradevi2

    Computer Systems Science and Engineering, Vol.42, No.1, pp. 361-371, 2022, DOI:10.32604/csse.2022.021412

    Abstract Skin cancer is usually classified as melanoma and non-melanoma. Melanoma now represents 75% of humans passing away worldwide and is one of the most brutal types of cancer. Previously, studies were not mainly focused on feature extraction of Melanoma, which caused the classification accuracy. However, in this work, Histograms of orientation gradients and local binary patterns feature extraction procedures are used to extract the important features such as asymmetry, symmetry, boundary irregularity, color, diameter, etc., and are removed from both melanoma and non-melanoma images. This proposed Efficient Classification Systems for the Diagnosis of Melanoma (ECSDM) framework consists of different schemes… More >

  • Open Access

    ARTICLE

    Digital Mammogram Inferencing System Using Intuitionistic Fuzzy Theory

    Susmita Mishra1,*, M. Prakash2

    Computer Systems Science and Engineering, Vol.41, No.3, pp. 1099-1115, 2022, DOI:10.32604/csse.2022.020439

    Abstract In the medical field, the detection of breast cancer may be a mysterious task. Physicians must deduce a conclusion from a significantly vague knowledge base. A mammogram can offer early diagnosis at a low cost if the breasts' satisfactory mammogram images are analyzed. A multi-decision Intuitionistic Fuzzy Evidential Reasoning (IFER) approach is introduced in this paper to deal with imprecise mammogram classification efficiently. The proposed IFER approach combines intuitionistic trapezoidal fuzzy numbers and inclusion measures to improve representation and reasoning accuracy. The results of the proposed technique are approved through simulation. The simulation is created utilizing MATLAB software. The screening… More >

  • Open Access

    ARTICLE

    Electrocardiographic early repolarization characteristics and clinical presentations in the young: a benign finding or worrisome marker for arrhythmias

    Raya Safa, Ronald Thomas, Peter P. Karpawich

    Congenital Heart Disease, Vol.12, No.1, pp. 99-104, 2017

    Abstract Background: The early ECG repolarization QRS pattern (ERp), with J-point elevation of 0.1 mV in two contiguous inferior and/or lateral leads, can be associated with ventricular arrhythmias among adults. The significance of an ERp in the young is unknown.
    Objective: The purpose of this study was to assess the prevalence of ERp among young patients (pts), describe and correlate the characteristics with clinical presentations and any arrhythmias.
    Methods: This was a 1 y retrospective review of ECGs obtained from patients referred specifically for documented arrhythmias, possible arrhythmia-related symptoms or sports clearance. ECGs were analyzed for ERp (J-point, ascending/horizontal patterns, location)… More >

  • Open Access

    ABSTRACT

    In Vivo Biomechanical Measurements of Benign and Cancerous Skin Lesions Using Vibrational Oct

    Frederick H. Silver1,*, Ruchit G. Shah2, Dominick Benedetto3

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 73-73, 2019, DOI:10.32604/mcb.2019.08150

    Abstract Previous literature reports suggest that tissue stiffness is a predictor of cancer and metastatic behavior of lesions. We have used optical coherence tomography and vibrational analysis (VOCT) to characterize normal skin, scar, a verrucous carcinoma (a squamous cell carcinoma subtype), a basal cell carcinoma and benign skin lesions non-invasively and non-destructively. The results suggest that epidermal thickening and increased keratin and basal cell production occur in malignant lesions and lead to increases in surface hills and valleys as well as subsequent increases in epidermal stiffness values. Increased stiffness of the epidermis is a result of increased keratin and basal cell… More >

  • Open Access

    ARTICLE

    A Numerical Investigation of the Effects of Benign Paroxysmal Positional Vertigo on the Balance Function of the Inner Ear

    Shen Yu1, Jizhe Wang2,*, Yan Guo2,*, Xiuzhen Sun2, Shuang Shen3

    CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.2, pp. 315-322, 2018, DOI: 10.31614/cmes.2018.04028

    Abstract A three-dimensional numerical model of the membranous labyrinth of the semicircular canal of the inner ear was established to investigate the effects of canalithiasis of BPPV on the balance function of the inner ear. The movement of otolith particles in the membranous labyrinth was simulated when a person turns his head to a specific position. The effects of otolith movements on the balance function of the inner ear were simulated for different numbers, diameters, and initial positions of otoliths. The simulation results show that the otolith diameter affects the movement duration of otoliths in the membranous labyrinth. The number and… More >

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