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[HTML][HTML] Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities
Recently, there has been great interest in develo** Artificial Intelligence (AI) enabled
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …
computer-aided diagnostics solutions for the diagnosis of skin cancer. With the increasing …
[HTML][HTML] All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems
Abstract Background and Objectives Artificial intelligence (AI) models trained on multi-
centric and multi-device studies can provide more robust insights and research findings …
centric and multi-device studies can provide more robust insights and research findings …
[HTML][HTML] Analysis of the ISIC image datasets: Usage, benchmarks and recommendations
Abstract The International Skin Imaging Collaboration (ISIC) datasets have become a
leading repository for researchers in machine learning for medical image analysis …
leading repository for researchers in machine learning for medical image analysis …
Skin lesion segmentation in dermoscopic images with ensemble deep learning methods
Early detection of skin cancer, particularly melanoma, is crucial to enable advanced
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
treatment. Due to the rapid growth in the number of skin cancers, there is a growing need of …
[HTML][HTML] Deep learning in diabetic foot ulcers detection: a comprehensive evaluation
There has been a substantial amount of research involving computer methods and
technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack …
technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack …
Skin disease diagnosis with deep learning: A review
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
A hierarchical three-step superpixels and deep learning framework for skin lesion classification
Skin cancer is one of the most common and dangerous cancer that exists worldwide.
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Malignant melanoma is one of the most dangerous skin cancer types has a high mortality …
Background selection schema on deep learning-based classification of dermatological disease
Skin diseases are one of the most common ailments affecting humans. Artificial intelligence
based on deep learning can significantly improve the efficiency of identifying skin disorders …
based on deep learning can significantly improve the efficiency of identifying skin disorders …
DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks
Background and objective Dermatological images are typically diagnosed based on visual
analysis of the skin lesion acquired using a dermoscope. However, the final quality of the …
analysis of the skin lesion acquired using a dermoscope. However, the final quality of the …
DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks
Recent years have seen a steep rise in the number of skin cancer detection applications.
While modern advances in deep learning made possible reaching new heights in terms of …
While modern advances in deep learning made possible reaching new heights in terms of …