Doaa Sami Khafaga¹, Amel Ali Alhussan^1,*, El-Sayed M. El-kenawy^2,3, Ali E. Takieldeen³, Tarek M. Hassan⁴, Ehab A. Hegazy⁵, Elsayed Abdel Fattah Eid⁶, Abdelhameed Ibrahim⁷, Abdelaziz A. Abdelhamid^8,9

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 749-765, 2022, DOI:10.32604/cmc.2022.029605

Abstract One of the most common kinds of cancer is breast cancer. The early detection of it may help lower its overall rates of mortality. In this paper, we robustly propose a novel approach for detecting and classifying breast cancer regions in thermal images. The proposed approach starts with data preprocessing the input images and segmenting the significant regions of interest. In addition, to properly train the machine learning models, data augmentation is applied to increase the number of segmented regions using various scaling ratios. On the other hand, to extract the relevant features from the breast cancer cases, a set… More >

Maqsood Ahmad^1,2, Noorhaniza Wahid¹, Rahayu A Hamid¹, Saima Sadiq², Arif Mehmood³, Gyu Sang Choi^4,*

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5041-5058, 2022, DOI:10.32604/cmc.2022.026077

Abstract Mental health signifies the emotional, social, and psychological well-being of a person. It also affects the way of thinking, feeling, and situation handling of a person. Stable mental health helps in working with full potential in all stages of life from childhood to adulthood therefore it is of significant importance to find out the onset of the mental disease in order to maintain balance in life. Mental health problems are rising globally and constituting a burden on healthcare systems. Early diagnosis can help the professionals in the treatment that may lead to complications if they remain untreated. The machine learning… More >

Esraa Hassan^1,3,*, Mahmoud Y. Shams¹, Noha A. Hikal², Samir Elmougy³

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5889-5907, 2022, DOI:10.32604/cmc.2022.025629

Abstract Infectious diseases are an imminent danger that faces human beings around the world. Malaria is considered a highly contagious disease. The diagnosis of various diseases, including malaria, was performed manually, but it required a lot of time and had some human errors. Therefore, there is a need to investigate an efficient and fast automatic diagnosis system. Deploying deep learning algorithms can provide a solution in which they can learn complex image patterns and have a rapid improvement in medical image analysis. This study proposed a Convolutional Neural Network (CNN) model to detect malaria automatically. A Malaria Convolutional Neural Network (MCNN)… More >

Lida Liao¹, Bo Xiao^1,2,*, Kan Huang^1,*, Bin Huang^1,3, Kang Zhang¹

Energy Engineering, Vol.119, No.3, pp. 1219-1238, 2022, DOI:10.32604/ee.2022.017471

Abstract With the increasingly stringent requirements for carbon emissions, countries have increased the scale of clean energy use in recent years. As an important new clean energy source, the ratio of wind power in energy utilization has been increasing. The horizontal axis wind turbine is the main form of wind power generation, which is subject to random wind loads during operation and is prone to various failures after a long period of operation, resulting in reduced power generation efficiency or even shutdown. In order to ensure stable external power transmission, it is necessary to perform fault diagnosis for wind turbines. However,… More >

Elsa Maitre, Xavier Troussard^*

Oncologie, Vol.24, No.1, pp. 3-24, 2022, DOI:10.32604/oncologie.2022.021490

Abstract Hairy cell leukemia (LT) accounts for 2% of all leukemias. The diagnosis is based on the presence in the blood and/ or the marrow of hairy cells expressing CD103, CD123, CD11c and CD25. The BRAF^V600E mutation, a molecular marker of the disease, is present in more than 80% of cases. LT should be distinguished from other chronic B-cell lymphoproliferative disorders, including the variant form of hairy cell leukemia (HCL-V) and diffuse splenic red pulp lymphoma (DSRPL). Progress has recently been made in the management of patients. The purine analogues (PNAs) in monotherapy, deoxycoformycin (DCF) or 2-chloro-deoxyadenosine (CDA), remain the first-line… More >

ULVI BAYRAKTUTAN^*

BIOCELL, Vol.46, No.7, pp. 1593-1598, 2022, DOI:10.32604/biocell.2022.018679

Abstract Ischaemic stroke is a debilitating disease with immense personal, societal and economic impact. Thrombolysis with recombinant tissue plasminogen activator remains the only approved pharmacotherapy for this disease. As each year less than 1% of eligible patients receive this therapy worldwide, efficacious new therapeutics are desperately needed. Emerging evidence suggest endothelial progenitor cells (EPCs), capable of repairing damaged vasculature, as one such therapeutics. However, questions regarding their optimal dose, delivery route and in vivo survivability remain largely unanswered. Outgrowth endothelial cells, generated in large numbers by ex vivo expansion of EPCs, enable effective assessment of these issues and may eventually serve… More >

Milan Tair¹, Nebojsa Bacanin¹, Miodrag Zivkovic¹, K. Venkatachalam^2,*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 959-982, 2022, DOI:10.32604/cmc.2022.024989

Abstract There is a growing interest in the study development of artificial intelligence and machine learning, especially regarding the support vector machine pattern classification method. This study proposes an enhanced implementation of the well-known whale optimisation algorithm, which combines chaotic and opposition-based learning strategies, which is adopted for hyper-parameter optimisation and feature selection machine learning challenges. The whale optimisation algorithm is a relatively recent addition to the group of swarm intelligence algorithms commonly used for optimisation. The Proposed improved whale optimisation algorithm was first tested for standard unconstrained CEC2017 benchmark suite and it was later adapted for simultaneous feature selection and… More >

Fatemeh Rahbar¹, Avid Farhang Fagheh², Ayda Khosravi², Siavash Shariatzadeh^2,3,*, Reza Akhavan-Sigari⁴

Molecular & Cellular Biomechanics, Vol.18, No.4, pp. 187-199, 2021, DOI:10.32604/mcb.2021.017750

Abstract The protein ERp57 is a stress-responsive protein, mainly exists in the endoplasmic reticulum (ER), and a small amount in the cell membrane, cytoplasm, nucleus and mitochondria, which is involved in the signal transduction from the cell surface, the regulation process that occurs in the nucleus, and the formation of polymer protein complexes involved in DNA repair. Various degrees of ERp57 dysregulation has been observed in many types of non-communicable diseases especially in cancers. Previous studies showed that the expression of ERp57 could play a key role in occurrence and development of cancers such as breast cancer, gastric cancer, ovarian cancer,… More >

Muhammad Ibrahim Khalil¹, Samabia Tehsin¹, Mamoona Humayun², N.Z Jhanjhi^3,4,*, Mohammed A. AlZain⁵

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3251-3265, 2022, DOI:10.32604/cmc.2022.020561

Abstract Medical Imaging Segmentation is an essential technique for modern medical applications. It is the foundation of many aspects of clinical diagnosis, oncology, and computer-integrated surgical intervention. Although significant successes have been achieved in the segmentation of medical images, DL (deep learning) approaches. Manual delineation of OARs (organs at risk) is vastly dominant but it is prone to errors given the complex irregularities in shape, low texture diversity between tissues and adjacent blood area, patient-wide location of organisms, and weak soft tissue contrast across adjacent organs in CT images. Till now several models have been implemented on multi organs segmentation but… More >

Eva Kapravelou¹, Hugo Issa², Gordon Culham³, Martin Hosking¹, Sanjiv K. Gandhi², Shubhayan Sanatani^1,*

Congenital Heart Disease, Vol.16, No.6, pp. 675-680, 2021, DOI:10.32604/CHD.2021.016548

Abstract A 4-month-old previously healthy baby was found to be in congestive heart failure with LV dysfunction and a right aortic arch with severe coarctation, undetectable by blood pressure measurements. A cardiac CT and central blood pressure led to the diagnosis of a unique anatomic variant of aortic coarctation. Once diagnosed the patient underwent surgery with an uncomplicated recovery. More >