Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study
Background The diagnostic performance of convolutional neural networks (CNNs) for
diagnosing several types of skin neoplasms has been demonstrated as comparable with …
diagnosing several types of skin neoplasms has been demonstrated as comparable with …
[HTML][HTML] Robustness of convolutional neural networks in recognition of pigmented skin lesions
RC Maron, S Haggenmüller, C von Kalle… - European journal of …, 2021 - Elsevier
Background A basic requirement for artificial intelligence (AI)–based image analysis
systems, which are to be integrated into clinical practice, is a high robustness. Minor …
systems, which are to be integrated into clinical practice, is a high robustness. Minor …
[HTML][HTML] Automated classification of skin lesions: from pixels to practice
The letters “Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer
Dataset” and “Automated Dermatological Diagnosis: Hype or Reality?” highlight the …
Dataset” and “Automated Dermatological Diagnosis: Hype or Reality?” highlight the …
Skin cancer classification using NASNet
The importance of making an early diagnosis in both the prevention and treatment of skin
cancer cannot be overstated. A very effective medical decision support system that can …
cancer cannot be overstated. A very effective medical decision support system that can …
Skin cancer classification with deep learning: a systematic review
Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …
lesions at an early stage could aid clinical decision-making by providing an accurate …
Automated skin lesion classification using ensemble of deep neural networks in isic 2018: Skin lesion analysis towards melanoma detection challenge
MAA Milton - arXiv preprint arXiv:1901.10802, 2019 - arxiv.org
In this paper, we studied extensively on different deep learning based methods to detect
melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very …
melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very …
Visualizing convolutional neural networks to improve decision support for skin lesion classification
Because of their state-of-the-art performance in computer vision, CNNs are becoming
increasingly popular in a variety of fields, including medicine. However, as neural networks …
increasingly popular in a variety of fields, including medicine. However, as neural networks …
Classification of skin cancer lesions using explainable deep learning
Skin cancer is among the most prevalent and life-threatening forms of cancer that occur
worldwide. Traditional methods of skin cancer detection need an in-depth physical …
worldwide. Traditional methods of skin cancer detection need an in-depth physical …
Multi-class skin cancer classification architecture based on deep convolutional neural network
Skin cancer is a deadly disease. Melanoma is a type of skin cancer responsible for the high
mortality rate. Early detection of skin cancer can enable patients to treat the disease and …
mortality rate. Early detection of skin cancer can enable patients to treat the disease and …
An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …