Skin cancer detection using deep learning—a review
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
TG Debelee - Diagnostics, 2023 - mdpi.com
Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
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 …
[HTML][HTML] 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 …
Diagnosing melanomas in Dermoscopy images using deep learning
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …
deadly. With the advancement of deep learning and computer vision, it is now possible to …
[HTML][HTML] Machine learning approach to surface plasmon resonance bio-chemical sensor based on nanocarbon allotropes for formalin detection in water
This article investigates the design of a surface plasmon resonance (SPR) sensor that
utilizes carbon nanotubes (CNT) and graphene to detect formalin concentration in water …
utilizes carbon nanotubes (CNT) and graphene to detect formalin concentration in water …
Enhanced deep learning approach for accurate eczema and psoriasis skin detection
This study presents an enhanced deep learning approach for the accurate detection of
eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health …
eczema and psoriasis skin conditions. Eczema and psoriasis are significant public health …
EfficientSkinDis: An EfficientNet-based classification model for a large manually curated dataset of 31 skin diseases
Skin diseases are a common health issue, affecting nearly one-third of the global
population, but they are often underestimated in terms of their impact despite being highly …
population, but they are often underestimated in terms of their impact despite being highly …
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 …
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study
Skin cancer is considered a dangerous type of cancer with a high global mortality rate.
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …
Manual skin cancer diagnosis is a challenging and time-consuming method due to the …