Analysis of artificial intelligence-based approaches applied to non-invasive imaging for early detection of melanoma: a systematic review

RH Patel, EA Foltz, A Witkowski, J Ludzik - Cancers, 2023 - mdpi.com
Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …

A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision

M Shahin, FF Chen, A Hosseinzadeh… - Advanced Engineering …, 2023 - Elsevier
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …

An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation

Y Guo, AI Shahin, H Garg - Expert Systems with Applications, 2024 - Elsevier
Medical image analysis, particularly the segmentation of White Blood Cells (WBCs), holds
critical importance in scrutinizing the quantity and morphology of these cells in smear …

[HTML][HTML] Noise Resilience in Dermoscopic Image Segmentation: Comparing Deep Learning Architectures for Enhanced Accuracy

F Ergin, IB Parlak, M Adel, ÖM Gül, K Karpouzis - Electronics, 2024 - mdpi.com
Skin diseases and lesions can be ambiguous to recognize due to the similarity of lesions
and enhanced imaging features. In this study, we compared three cutting-edge deep …

[HTML][HTML] Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review

R Vardasca, JG Mendes, C Magalhaes - Journal of Imaging, 2024 - mdpi.com
The increasing incidence of and resulting deaths associated with malignant skin tumors are
a public health problem that can be minimized if detection strategies are improved …

An efficient multi-class classification of skin cancer using optimized vision transformer

RP Desale, PS Patil - Medical & Biological Engineering & Computing, 2024 - Springer
Skin cancer is a pervasive and deadly disease, prompting a surge in research efforts
towards utilizing computer-based techniques to analyze skin lesion images to identify …

Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning

M Abou Ali, F Dornaika, I Arganda-Carreras, H Ali… - …, 2024 - mdpi.com
Background: In response to the escalating global concerns surrounding skin cancer, this
study aims to address the imperative for precise and efficient diagnostic methodologies …

[PDF][PDF] Unveiling Big Data Insights: A Neutrosophic Classification Approach for Enhanced Prediction with Machine Learning

AZM Elsherif, AA Salama, OM Khaled… - Neutrosophic Sets and …, 2024 - fs.unm.edu
The ever-growing volume and complexity of Big Data pose challenges for traditional
classification tasks. This paper explores the potential of Neutrosophic Sets (NS), a powerful …

Artificial intelligence framework for skin lesion prediction using medical dermoscopic images

H AbuAlkebash, RAA Saleh, HM Ertunç… - 2023 7th …, 2023 - ieeexplore.ieee.org
Melanoma, recognized as the most lethal form of cancer, originates from the uncontrolled
proliferation of melanocytes, cells responsible for melanin production. Identifying melanoma …

Neutrosophic Fuzzy Logic based SVM approach for Enhanced Skin Cancer Prediction.

K Bedair, AH Samak, KS Nisar… - International …, 2024 - search.ebscohost.com
In this study, a thorough methodology is used to present a unique way for improving skin
cancer prediction accuracy. The research uses sophisticated preprocessing methods, such …