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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 …
Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
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 …
Concatenated Xception-ResNet50—A novel hybrid approach for accurate skin cancer prediction
Skin cancer is a malignant disease that affects millions of people around the world every
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …
[HTML][HTML] SBXception: a shallower and broader xception architecture for efficient classification of skin lesions
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …
crucial for effective treatment. we propose a modified deep learning model called …
[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, M Arefin, F Akhtar, J Blake - Diagnostics, 2024 - 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 …
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 …
[PDF][PDF] Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine learning framework
Segmenting and classifying skin lesions using a fruit fly optimization algorithm with a machine
lear Page 1 Automatika Journal for Control, Measurement, Electronics, Computing and …
lear Page 1 Automatika Journal for Control, Measurement, Electronics, Computing and …
A novel transfer learning framework for multimodal skin lesion analysis
Skin lesion classification is a pivotal process in dermatology, enabling the early detection
and precise diagnosis of skin diseases, leading to improved patient outcomes. Deep …
and precise diagnosis of skin diseases, leading to improved patient outcomes. Deep …
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 …
A multi-stage faster RCNN-based iSPLInception for skin disease classification using novel optimization
Nowadays, skin cancer is considered a serious disorder in which early identification and
treatment of the disease are essential to ensure the stability of the patients. Several existing …
treatment of the disease are essential to ensure the stability of the patients. Several existing …