Mohamed Ibrahim Waly¹, Mohamed Yacin Sikkandar¹, Mohamed Abdelkader Aboamer¹, Seifedine Kadry², Orawit Thinnukool^3,*

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 >

Vinay Arora¹, Karun Verma¹, Rohan Singh Leekha², Kyungroul Lee³, Chang Choi^4,*, Takshi Gupta⁵, Kashish Bhatia⁶

CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 4151-4168, 2021, DOI:10.32604/cmc.2021.019178

Abstract The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension, irregular cardiac functioning, and heart failure. Machine-based learning of heart sound is an {efficient} technology which can help minimize the workload of manual auscultation by automatically identifying irregular cardiac sounds. Phonocardiogram (PCG) and electrocardiogram (ECG) waveforms provide the much-needed information for the diagnosis of these diseases. In this work, the researchers have converted the heart sound signal into its corresponding repeating pattern-based spectrogram. PhysioNet 2016 and PASCAL 2011 have been taken as the benchmark datasets to perform experimentation. The existing models, viz. MobileNet, Xception, Visual… More >

Meixiang Chen¹, Hong Yang¹, Zhengda Song¹, Yonghua Gu^1,#,*, Yuhong Zheng^1,2, Jiangwei Zhu³, Aiwu Wang⁴, Li Fu^5,#,*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1507-1518, 2021, DOI:10.32604/phyton.2021.015723

Abstract Opuntia Milpa Alta is a cactus cultivated, domesticated, hybridized and selected from the plant Opuntia ficus-indica by Mexican agricultural experts, which can be used as fruit and vegetable. Opuntia Milpa Alta leaves and fruit are superior to wild varieties and suitable for storage and transportation. In 1998, Opuntia Milpa Alta was introduced to China from Mexico by the Quality Product Development Center of the Ministry of Agriculture of China. Up to now, the Opuntia Milpa Alta has been cultivated on a certain scale in China. This study aims to identify the research progress and development trends of Opuntia Milpa Alta… More >

ALFONSO BLÁZQUEZ-CASTRO^1,2,*, JUAN CARLOS STOCKERT^2,3

BIOCELL, Vol.45, No.4, pp. 849-862, 2021, DOI:10.32604/biocell.2021.015900

Abstract Melanins (eumelanin, pheomelanin, and allomelanin) represent a very, if not the most, important group of biological pigments. Their biological roles are multiple, from photoprotection to antioxidant activity, heavy metal disposal or the myriad uses of color in organisms across all Phyla. In the first part of this review, eumelanin biology and some chemical aspects will be presented, as well as key physico-chemical features that make this biological pigment so interesting. The principal characteristics of the melanocyte, the melanin-synthesizing cell in mammals, will also be introduced. Transformed melanocytes are the cause of one of the most devastating known cancers: the malignant… More >

Bassm H. Abed¹, Jaber H. Majeed^1,*, Najma Abed Habeeb²

Computer Systems Science and Engineering, Vol.38, No.1, pp. 17-24, 2021, DOI:10.32604/csse.2021.015544

Abstract Recently, the inductive coupling link is the most robust method for powering implanted biomedical devices, such as micro-system stimulators, cochlear implants, and retinal implants. This research provides a novel theoretical and mathematical analysis to optimize the inductive coupling link efficiency driven by efficient proposed class-E power amplifiers using high and optimum input impedance. The design of the coupling link is based on two pairs of aligned, single-layer, planar spiral circular coils with a proposed geometric dimension, operating at a resonant frequency of 13.56 MHz. Both transmitter and receiver coils are small in size. Implanted device resistance varies from 200 Ω… More >

Janyl Jumadinova¹, Oliver Bonham-Carter¹, Hanzhong Zheng^1,2,*, Michael Camara¹, Dejie Shi³

Journal on Big Data, Vol.2, No.4, pp. 145-155, 2020, DOI:10.32604/jbd.2020.010090

Abstract Text mining has emerged as an effective method of handling and extracting useful information from the exponentially growing biomedical literature and biomedical databases. We developed a novel biomedical text mining model implemented by a multi-agent system and distributed computing mechanism. Our distributed system, TextMed, comprises of several software agents, where each agent uses a reinforcement learning method to update the sentiment of relevant text from a particular set of research articles related to specific keywords. TextMed can also operate on different physical machines to expedite its knowledge extraction by utilizing a clustering technique. We collected the biomedical textual data from… More >

Lufeng Yuan^∗, Erlin Yao, Guangming Tan

Computer Systems Science and Engineering, Vol.33, No.2, pp. 105-113, 2018, DOI:10.32604/csse.2018.33.105

Abstract This paper proposes a machine learning based method which can detect certain events automatically and precisely in biomedical imaging. We detect one important and not well-defined event, which is called flash, in fluorescence images of Escherichia coli. Given a time series of images, first we propose a scheme to transform the event detection on region of interest (ROI) in images to a classification problem. Then with supervised human labeling data, we develop a feature selection technique to utilize support vector machine (SVM) to solve this classification problem. To reduce the time in training SVM model, a parallel version of SVM… More >

Xiaolei Ma^{1, 2}, Yang Lu^{1, 2}, Yinan Lu^{1, *}, Zhili Pei², Jichao Liu³

CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 923-941, 2020, DOI:10.32604/cmc.2020.07711

Abstract Supervised machine learning approaches are effective in text mining, but their success relies heavily on manually annotated corpora. However, there are limited numbers of annotated biomedical event corpora, and the available datasets contain insufficient examples for training classifiers; the common cure is to seek large amounts of training samples from unlabeled data, but such data sets often contain many mislabeled samples, which will degrade the performance of classifiers. Therefore, this study proposes a novel error data detection approach suitable for reducing noise in unlabeled biomedical event data. First, we construct the mislabeled dataset through error data analysis with the development… More >

Praveena R^{1, *}

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 85-95, 2020, DOI:10.32604/cmc.2020.08629

Abstract Digital design of a digital signal processor involves accurate and high-speed mathematical computation units. DSP units are one of the most power consuming and memory occupying devices. Multipliers are the common building blocks in most of the DSP units which demands low power and area constraints in the field of portable biomedical devices. This research works attempts multiple power reduction technique to limit the power dissipation of the proposed LUT multiplier unit. A lookup table-based multiplier has the advantage of almost constant area requirement’s irrespective to the increase in bit size of multiplier. Clock gating is usually used to reduce… More >

Ning Jiang^1,2,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 102-102, 2019, DOI:10.32604/mcb.2019.07486

Abstract Force is not only involved in motion, but also involved in molecular interactions that guide cells to execute important physiological functions. Getting to know Dr. Fung at an early age shaped my college major decision, which lead me into the field of biomedical engineering. Applying a force-based measurement tool to study T cell receptor interaction with ligands in graduate school prepared me to use technology development as a foundation to answer important biological and clinical questions.
By combining engineering principle, quantitative modeling, and a deep understanding of biology and medicine, my current research focuses in systems immunology and immune… More >