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  • Open Access

    ARTICLE

    Harnessing LSTM Classifier to Suggest Nutrition Diet for Cancer Patients

    S. Raguvaran1,*, S. Anandamurugan2, A. M. J. Md. Zubair Rahman3

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2171-2187, 2023, DOI:10.32604/iasc.2023.028605 - 19 July 2022

    Abstract A customized nutrition-rich diet plan is of utmost importance for cancer patients to intake healthy and nutritious foods that help them to be strong enough to maintain their body weight and body tissues. Consuming nutrition-rich diet foods will prevent them from the side effects caused before and after treatment thereby minimizing it. This work is proposed here to provide them with an effective diet assessment plan using deep learning-based automated medical diet system. Hence, an Enhanced Long-Short Term Memory (E-LSTM) has been proposed in this paper, especially for cancer patients. This proposed method will be… More >

  • Open Access

    ARTICLE

    Novel Contiguous Cross Propagation Neural Network Built CAD for Lung Cancer

    A. Alice Blessie1,*, P. Ramesh2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1467-1484, 2023, DOI:10.32604/csse.2023.025399 - 15 June 2022

    Abstract The present progress of visual-based detection of the diseased area of a malady plays an essential part in the medical field. In that case, the image processing is performed to improve the image data, wherein it inhibits unintended distortion of image features or it enhances further processing in various applications and fields. This helps to show better results especially for diagnosing diseases. Of late the early prediction of cancer is necessary to prevent disease-causing problems. This work is proposed to identify lung cancer using lung computed tomography (CT) scan images. It helps to identify cancer… More >

  • Open Access

    ARTICLE

    Cervical Cancer Detection Based on Novel Decision Tree Approach

    S. R. Sylaja Vallee Narayan1,*, R. Jemila Rose2

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1025-1038, 2023, DOI:10.32604/csse.2023.022564 - 15 June 2022

    Abstract Cervical cancer is a disease that develops in the cervix’s tissue. Cervical cancer mortality is being reduced due to the growth of screening programmers. Cervical cancer screening is a big issue because the majority of cervical cancer screening treatments are invasive. Hence, there is apprehension about standard screening procedures, as well as the time it takes to learn the results. There are different methods for detecting problems in the cervix using Pap (Papanicolaou-stained) test, colposcopy, Computed Tomography (CT), Magnetic Resonance Image (MRI) and ultrasound. To obtain a clear sketch of the infected regions, using a… More >

  • Open Access

    ARTICLE

    Breast Calcifications and Histopathological Analysis on Tumour Detection by CNN

    D. Banumathy1,*, Osamah Ibrahim Khalaf2, Carlos Andrés Tavera Romero3, P. Vishnu Raja4, Dilip Kumar Sharma5

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 595-612, 2023, DOI:10.32604/csse.2023.025611 - 01 June 2022

    Abstract The most salient argument that needs to be addressed universally is Early Breast Cancer Detection (EBCD), which helps people live longer lives. The Computer-Aided Detection (CADs)/Computer-Aided Diagnosis (CADx) system is indeed a software automation tool developed to assist the health professions in Breast Cancer Detection and Diagnosis (BCDD) and minimise mortality by the use of medical histopathological image classification in much less time. This paper purposes of examining the accuracy of the Convolutional Neural Network (CNN), which can be used to perceive breast malignancies for initial breast cancer detection to determine which strategy is efficient… More >

  • Open Access

    ARTICLE

    Performance Analysis of Breast Cancer Detection Method Using ANFIS Classification Approach

    K. Nagalakshmi1,*, S. Dr. Suriya2

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 501-517, 2023, DOI:10.32604/csse.2023.022687 - 01 June 2022

    Abstract Breast cancer is one of the deadly diseases prevailing in women. Earlier detection and diagnosis might prevent the death rate. Effective diagnosis of breast cancer remains a significant challenge, and early diagnosis is essential to avoid the most severe manifestations of the disease. The existing systems have computational complexity and classification accuracy problems over various breast cancer databases. In order to overcome the above-mentioned issues, this work introduces an efficient classification and segmentation process. Hence, there is a requirement for developing a fully automatic methodology for screening the cancer regions. This paper develops a fully… More >

  • Open Access

    REVIEW

    Clinical relevance and therapeutic potential of IL-38 in immune and non-immune-related disorders

    Mohammad Reza Haghshenas1, Mina Roshan Zamir1, Mahboubeh Sadeghi1, Mohammad Javad Fattahi1, Kimia Mirshekari1, Abbas Ghaderi1,2,*

    European Cytokine Network, Vol.33, No.3, pp. 54-69, 2022, DOI:10.1684/ecn.2022.0480

    Abstract Interleukin-38 (IL-38) is the most recent member of the IL-1 family that acts as a natural inflammatory inhibitor by binding to cognate receptors, particularly the IL-36 receptor. In vitro, animal and human studies on autoimmune, metabolic, cardiovascular and allergic diseases, as well sepsis and respiratory viral infections, have shown that IL-38 exerts an anti-inflammatory activity by modulating the generation and function of inflammatory cytokines (e.g. IL-6, IL-8, IL-17 and IL-36) and regulating dendritic cells, M2 macrophages and regulatory T cells (Tregs). Accordingly, IL-38 may possess therapeutic potential for these types of diseases. IL-38 down-regulates CCR3+… More >

  • Open Access

    RESIDENT’S CORNER

    Chronic lymphocytic leukemia/small lymphocytic lymphoma presenting as acute renal failure

    Zachary Snow1, Lauren S. Jones2, Javier Piraino1, Matthew Sterling1

    Canadian Journal of Urology, Vol.29, No.1, pp. 11036-11039, 2022

    Abstract Lymphoma of the urinary bladder is quite rare, accounting for a small percentage of all bladder neoplasms. Here we discuss the case of a 68-year-old male patient who initially presented with acute renal failure and severe bilateral hydronephrosis on ultrasound. Cross-sectional imaging further revealed a diffusely thickened bladder wall with extensive retroperitoneal and mesenteric lymphadenopathy. Bladder biopsies ultimately led to a diagnosis of stage IV chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). This is a rare instance of upper tract dilatation being the first sign of a widely disseminated hematologic malignancy. More >

  • Open Access

    COMMENTARY

    The long-running disparity in early detection and treatment of prostate cancer in African American men

    Judd W. Moul

    Canadian Journal of Urology, Vol.29, No.1, pp. 11003-11004, 2022

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Single black men have the worst prognosis with localized prostate cancer

    Sijun Liu1,2, Zongwei Wang1, Xingbo Long3, Aaron Fleishman1, Xiangchun Huang4, Qingguang Wu2, Boris Gershman1, Aria F. Olumi1

    Canadian Journal of Urology, Vol.29, No.1, pp. 10992-11002, 2022

    Abstract Introduction: To determine whether marital status combined with race serve as prognostic factors for survival in localized prostate cancer.
    Materials and methods: Patients with localized prostate cancer were retrospectively extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square test was used to investigate the association between marital status combined with race and other variables. Gray’s test was used to compare the cumulative incidence function of different variables. Multivariable analysis was conducted to assess prognostic factors after adjusting for other variables.
    Results: A total of 207,219 patients with localized prostate cancer from the SEER database from 2010… More >

  • Open Access

    ARTICLE

    Biochemical failure-rate and preservation of erectile function after prostate seed brachytherapy in early-onset prostate cancer

    Cédric Charrois-Durand1, Daniel Taussky1, Guila Delouya1, Daniel Liberman2

    Canadian Journal of Urology, Vol.29, No.1, pp. 10986-10991, 2022

    Abstract Introduction: To analyze biochemical failure-free survival and erectile dysfunction (ED) in younger men treated with prostate seed brachytherapy (PB).
    Materials and methods: Included were patients ≤ 55 years treated with PB. Erectile function at baseline and after treatment were assessed using the physician-reported CTCAE version 4.0. Biochemical failure (BF) was defined according to the Phoenix Consensus definition (PSA nadir + 2 ng/mL). The log-rank test (Kaplan-Meier method) and cox-regression analysis was used to calculate BF-free survival.
    Results: Between July 2005 and November 2020, a total of 137 patients ≤ 55 years (range 44-55 years old) were treated with… More >

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