(32) |
Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review |
Journal of Medical Internet Research |
This study presents a detailed overview of studies on using CNNs to classify skin lesions. |
(31) |
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review |
Biomedical Signal Processing and Control |
This paper gives a review of the recent developments in skin lesion classification using dermoscopic images. |
(33) |
Classification of Skin cancer using deep learning, Convolutional Neural Networks -Opportunities and vulnerabilities-A systematic Review |
International Journal for Modern Trends in Science and Technology |
This article reviews the development of deep learning for skin cancer classification tasks. |
(34) |
Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations |
Dermatology and Therapy volume |
This paper reviews the fundamentals of machine learning and its wide range of applications in dermatology. |
(12) |
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities |
Computers in Biology and Medicine |
This review discusses the developments in AI-based methods for skin cancer diagnosis, as well as challenges and future directions to enhance them. |
(35) |
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts |
European Journal of Cancer |
This paper analyses studies comparing AI–based skin cancer classifiers with dermatologists. |
(37) |
Skin Cancer Detection: A Review Using Deep Learning Techniques |
International Journal of Environmental Research and Public Health |
This paper provides a review of deep learning-based methods for early diagnosis of skin cancer. |
(36) |
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review |
Journal of Medical Internet Research |
This review summarizes the latest CNN-based methods in skin lesion classification by utilizing image data and patient data. |
(28) |
Skin disease diagnosis with deep learning: A review |
Neurocomputing |
This paper analyses several deep learning algorithms for diagnosing skin diseases from a variety of perspectives based on the challenges at hand. |