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 …
DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
Automatic classification of melanoma skin cancer with deep convolutional neural networks
K Aljohani, T Turki - Ai, 2022 - mdpi.com
Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
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 …
[HTML][HTML] Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
D Keerthana, V Venugopal, MK Nath… - Biomedical Engineering …, 2023 - Elsevier
Background: The dermatologist widely uses digital dermoscopy for the detection of
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
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 …
DeepSkin: a deep learning approach for skin cancer classification
Skin cancer is one of the most rapidly spreading illnesses in the world and because of the
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
limited resources available. Early detection of skin cancer is crucial accurate diagnosis of …
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 …
Skin cancer detection using deep learning—a review
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …