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Explainable deep inherent learning for multi-classes skin lesion classification
There is often a lack of explanation when artificial intelligence (AI) is used to diagnose skin
lesions, which makes the physician unable to interpret and validate the output; thus …
lesions, which makes the physician unable to interpret and validate the output; thus …
[HTML][HTML] A deep neural network using modified EfficientNet for skin cancer detection in dermoscopic images
Artificial intelligence (AI) systems can assist in analyzing medical images and aiding in the
early detection of diseases. AI can also ensure the quality of services by avoiding …
early detection of diseases. AI can also ensure the quality of services by avoiding …
[HTML][HTML] MSRNet: multiclass skin lesion recognition using additional residual block based fine-tuned deep models information fusion and best feature selection
Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
[HTML][HTML] Recent applications of Explainable AI (XAI): A systematic literature review
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …
[HTML][HTML] SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization …
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 …
A Review on Utilizing Machine Learning Classification Algorithms for Skin Cancer
Skin cancer is one of the most prevalent forms of cancer globally, with rising incidence rates
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …
Skin cancer segmentation and classification using vision transformer for automatic analysis in dermatoscopy‐based noninvasive digital system
Skin cancer is a significant health concern worldwide, and early and accurate diagnosis
plays a crucial role in improving patient outcomes. In recent years, deep learning models …
plays a crucial role in improving patient outcomes. In recent years, deep learning models …
An effective multiclass skin cancer classification approach based on deep convolutional neural network
Skin cancer is one of the most dangerous types of cancer due to its immediate appearance
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
Guaranteeing correctness in Black-Box Machine Learning: A Fusion of Explainable AI and formal methods for Healthcare decision-making
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …
from the research community, primarily focusing on elucidating the opaque decision-making …