[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

AI-based computer vision techniques and expert systems

Y Matsuzaka, R Yashiro - AI, 2023 - mdpi.com
Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …

Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets

O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …

Linear-exponential loss incorporated deep learning for imbalanced classification

S Fu, D Su, S Li, S Sun, Y Tian - ISA transactions, 2023 - Elsevier
The class imbalance issue is a pretty common and enduring topic all the time. When
encountering unbalanced data distribution, conventional methods are prone to classify …

A Multi-level ensemble approach for skin lesion classification using Customized Transfer Learning with Triple Attention

AH Efat, SMM Hasan, MP Uddin, MA Mamun - PloS one, 2024 - journals.plos.org
Skin lesions encompass a variety of skin abnormalities, including skin diseases that affect
structure and function, and skin cancer, which can be fatal and arise from abnormal cell …

Artificial Intelligence Applied to Non-Invasive Imaging Modalities in Identification of Nonmelanoma Skin Cancer: A Systematic Review

EA Foltz, A Witkowski, AL Becker, E Latour, JY Lim… - Cancers, 2024 - mdpi.com
Simple Summary Artificial intelligence (AI) has shown promise in detecting and diagnosing
nonmelanoma skin cancer through image analysis. The incidence of skin cancer continues …

A systematic literature survey on skin disease detection and classification using machine learning and deep learning

R Yadav, A Bhat - Multimedia Tools and Applications, 2024 - Springer
The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …

[HTML][HTML] Systematic Review of Deep Learning Techniques in Skin Cancer Detection

C Magalhaes, J Mendes, R Vardasca - BioMedInformatics, 2024 - mdpi.com
Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …

Pashto handwritten invariant character trajectory prediction using a customized deep learning technique

F Khaliq, M Shabir, I Khan, S Ahmad, M Usman… - Sensors, 2023 - mdpi.com
Before the 19th century, all communication and official records relied on handwritten
documents, cherished as valuable artefacts by different ethnic groups. While significant …

M‐Net: A Skin Cancer Classification With Improved Convolutional Neural Network Based on the Enhanced Gray Wolf Optimization Algorithm

Z Xu, X Zhang, L Liu - International Journal of Imaging Systems …, 2024 - Wiley Online Library
Skin cancer is a common malignant tumor causing tens of thousands of deaths each year,
making early detection essential for better treatment outcomes. However, the similar visual …