SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization algorithm
Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …
automated computer-aided diagnosis (CAD) system has shown improved performance for …
Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classification
This research paper focuses on effective infectious municipal waste management in urban
settings, highlighting a dearth of dedicated research in this domain. Unlike general or …
settings, highlighting a dearth of dedicated research in this domain. Unlike general or …
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
UA Lyakhova, PA Lyakhov - Computers in Biology and Medicine, 2024 - Elsevier
In recent years, there has been a significant improvement in the accuracy of the
classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent …
classification of pigmented skin lesions using artificial intelligence algorithms. Intelligent …
Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
MM Hossain, MM Hossain, MB Arefin, F Akhtar, J Blake - Diagnostics, 2023 - mdpi.com
Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …
diagnosis for effective treatment. While recent advances in deep learning have dramatically …
SkinLesNet: Classification of Skin Lesions and Detection of Melanoma Cancer Using a Novel Multi-Layer Deep Convolutional Neural Network
M Azeem, K Kiani, T Mansouri, N Topping - Cancers, 2023 - mdpi.com
Simple Summary While melanoma accounts for 4% of skin cancer cases, it causes 75% of
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …
skin-cancer-related deaths. The survival rate for melanoma is higher for early-identified …
Lung Cancer Classification using Optimized Attention-based Convolutional Neural Network with DenseNet-201 Transfer Learning Model on CT image
G Mohandass, GH Krishnan, D Selvaraj… - … Signal Processing and …, 2024 - Elsevier
In this paper, the Lung Cancer Classification using Convolutional Neural Network with
DenseNet-201 Transfer Learning model optimized through Namib Beetle Optimization …
DenseNet-201 Transfer Learning model optimized through Namib Beetle Optimization …
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …
O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
is imperative to promptly identify and diagnose such conditions at their earliest stages using …
Fusion of transformer attention and CNN features for skin cancer detection
Melanoma is a skin cancer that spreads quickly and has serious risks. Early diagnosis is
essential, but since the symptoms of skin lesions in the early stages are vague and similar …
essential, but since the symptoms of skin lesions in the early stages are vague and similar …
[HTML][HTML] Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management
This research addresses the critical challenge of disaster waste management, a growing
concern exacerbated by the increasing frequency and intensity of natural disasters like …
concern exacerbated by the increasing frequency and intensity of natural disasters like …
An application of artificial intelligence for solving multi-visit scheduling and routing of multi-heterogeneous resources
This research focuses on the development of an artificial multiple intelligence system (AMIS)
for solving multi-visit scheduling and routing of multi-heterogeneous resources. The …
for solving multi-visit scheduling and routing of multi-heterogeneous resources. The …