The internet of medical things and artificial intelligence: trends, challenges, and opportunities

K Kakhi, R Alizadehsani, HMD Kabir, A Khosravi… - Biocybernetics and …, 2022 - Elsevier
High quality and efficient medical service is one of the major factors defining living
standards. Developed countries strive to make their healthcare systems as efficient and cost …

Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review

F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …

[HTML][HTML] An improved transformer network for skin cancer classification

C Xin, Z Liu, K Zhao, L Miao, Y Ma, X Zhu… - Computers in Biology …, 2022 - Elsevier
Background Use of artificial intelligence to identify dermoscopic images has brought major
breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the …

The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study

E Hassan, MY Shams, NA Hikal, S Elmougy - Multimedia Tools and …, 2023 - Springer
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …

Enhancing the random forest model via synthetic minority oversampling technique for credit-card fraud detection

FO Aghware, AA Ojugo, W Adigwe… - Journal of …, 2024 - dl.futuretechsci.org
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …

Strategic Feature Selection for Enhanced Scorch Prediction in Flexible Polyurethane Form Manufacturing

F Omoruwou, AA Ojugo… - Journal of Computing …, 2024 - dl.futuretechsci.org
The occurrence of scorch during the production of flexible polyurethane is a significant issue
that negatively impacts foam products' resilience and generally jeopardizes their integrity …

Soft attention improves skin cancer classification performance

SK Datta, MA Shaikh, SN Srihari, M Gao - Interpretability of Machine …, 2021 - Springer
In clinical applications, neural networks must focus on and highlight the most important parts
of an input image. Soft-Attention mechanism enables a neural network to achieve this goal …

Skin lesion classification based on deep convolutional neural networks architectures

J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost

RE Ako, FO Aghware, MD Okpor… - Journal of …, 2024 - dl.futuretechsci.org
Customer attrition has become the focus of many businesses today–since the online market
space has continued to proffer customers, various choices and alternatives to goods …

A novel vision transformer model for skin cancer classification

G Yang, S Luo, P Greer - Neural Processing Letters, 2023 - Springer
Skin cancer can be fatal if it is found to be malignant. Modern diagnosis of skin cancer
heavily relies on visual inspection through clinical screening, dermoscopy, or …