Opportunities and challenges: Classification of skin disease based on deep learning
B Zhang, X Zhou, Y Luo, H Zhang, H Yang… - Chinese Journal of …, 2021 - Springer
Deep learning has become an extremely popular method in recent years, and can be a
powerful tool in complex, prior-knowledge-required areas, especially in the field of …
powerful tool in complex, prior-knowledge-required areas, especially in the field of …
Deep learning in skin disease image recognition: A review
LF Li, X Wang, WJ Hu, NN Xiong, YX Du, BS Li - Ieee Access, 2020 - ieeexplore.ieee.org
The application of deep learning methods to diagnose diseases has become a new
research topic in the medical field. In the field of medicine, skin disease is one of the most …
research topic in the medical field. In the field of medicine, skin disease is one of the most …
Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge
Background The emergence of the deep convolutional neural network (CNN) greatly
improves the quality of computer-aided supporting systems. However, due to the challenges …
improves the quality of computer-aided supporting systems. However, due to the challenges …
[PDF][PDF] Deep learning based automated diagnosis of skin diseases using dermoscopy
Biomedical image analysis has been exploited considerably by recent technology
involvements, carrying about a pattern shift towards 'automation'and 'error free diagnosis' …
involvements, carrying about a pattern shift towards 'automation'and 'error free diagnosis' …
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 …
Computer-aided diagnosis of skin diseases using deep neural networks
Propensity of skin diseases to manifest in a variety of forms, lack and maldistribution of
qualified dermatologists, and exigency of timely and accurate diagnosis call for automated …
qualified dermatologists, and exigency of timely and accurate diagnosis call for automated …
Deep learning based classification of dermatological disorders
L AlSuwaidan - Biomedical Engineering and Computational …, 2023 - journals.sagepub.com
Automated medical diagnosis has become crucial and significantly supports medical
doctors. Thus, there is a demand for inventing deep learning (DL) and convolutional …
doctors. Thus, there is a demand for inventing deep learning (DL) and convolutional …
[PDF][PDF] Dermatological classification using deep learning of skin image and patient background knowledge
K Sriwong, S Bunrit, K Kerdprasop… - International Journal of …, 2019 - ijml.org
Skin cancer is one of the most common human malignancies. It is a kind of skin diseases
caused by abnormal growth of skin cells. Clinically, dermatological disease including skin …
caused by abnormal growth of skin cells. Clinically, dermatological disease including skin …
A computer‐aided diagnosis system using deep learning for multiclass skin lesion classification
In the USA, each year, almost 5.4 million people are diagnosed with skin cancer. Melanoma
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …
Skin lesions classification based on deep learning approach
As one kind of skin cancer, melanoma is very dangerous. Dermoscopy-based early
detection and reorganization strategy is critical for melanoma therapy. Skin imaging is …
detection and reorganization strategy is critical for melanoma therapy. Skin imaging is …