A multi-class skin Cancer classification using deep convolutional neural networks
Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …
Skin lesion analyser: an efficient seven-way multi-class skin cancer classification using MobileNet
SS Chaturvedi, K Gupta, PS Prasad - Advanced Machine Learning …, 2021 - Springer
Skin cancer is an emerging global health problem with 123,000 melanoma and 3,000,000
non-melanoma cases worldwide each year. The recent studies have reported excessive …
non-melanoma cases worldwide each year. The recent studies have reported excessive …
[HTML][HTML] An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images
Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Deep learning algorithms for skin cancer detection have become popular in recent years. A …
Skin cancer classification using deep learning and transfer learning
Skin cancer, specially melanoma is one of most deadly diseases. In the color images of skin,
there is a high similarity between different skin lesion like melanoma and nevus, which …
there is a high similarity between different skin lesion like melanoma and nevus, which …
Skin cancer disease images classification using deep learning solutions
MM Mijwil - Multimedia Tools and Applications, 2021 - Springer
Skin cancer is a type of dangerous disease, and early detection is necessary to increases
the survival rate. In recent years, deep learning models applied to computerized skin cancer …
the survival rate. In recent years, deep learning models applied to computerized skin cancer …
Dermatologist level dermoscopy skin cancer classification using different deep learning convolutional neural networks algorithms
A Rezvantalab, H Safigholi, S Karimijeshni - arXiv preprint arXiv …, 2018 - arxiv.org
In this paper, the effectiveness and capability of convolutional neural networks have been
studied in the classification of 8 skin diseases. Different pre-trained state-of-the-art …
studied in the classification of 8 skin diseases. Different pre-trained state-of-the-art …
Development of a light‐weight deep learning model for cloud applications and remote diagnosis of skin cancers
HW Huang, BWY Hsu, CH Lee… - The Journal of …, 2021 - Wiley Online Library
Skin cancer is among the 10 most common cancers. Recent research revealed the
superiority of artificial intelligence (AI) over dermatologists to diagnose skin cancer from …
superiority of artificial intelligence (AI) over dermatologists to diagnose skin cancer from …
The skin cancer classification using deep convolutional neural network
UO Dorj, KK Lee, JY Choi, M Lee - Multimedia Tools and Applications, 2018 - Springer
This paper addresses the demand for an intelligent and rapid classification system of skin
cancer using contemporary highly-efficient deep convolutional neural network. In this paper …
cancer using contemporary highly-efficient deep convolutional neural network. In this paper …
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
Skin cancer is by far in top-3 of the world's most common cancer. Among different skin
cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early …
cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early …