The internet of medical things and artificial intelligence: trends, challenges, and opportunities
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 …
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 …
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 …
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
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
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
Fraudsters increasingly exploit unauthorized credit card information for financial gain,
targeting un-suspecting users, especially as financial institutions expand their services to …
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 …
that negatively impacts foam products' resilience and generally jeopardizes their integrity …
Soft attention improves skin cancer classification performance
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 …
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 …
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
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 …
space has continued to proffer customers, various choices and alternatives to goods …
A novel vision transformer model for skin cancer classification
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 …
heavily relies on visual inspection through clinical screening, dermoscopy, or …