Analysis of skin lesion images with deep learning
J Steppan, S Hanke - arXiv preprint arXiv:2101.03814, 2021 - arxiv.org
Skin cancer is the most common cancer worldwide, with melanoma being the deadliest form.
Dermoscopy is a skin imaging modality that has shown an improvement in the diagnosis of …
Dermoscopy is a skin imaging modality that has shown an improvement in the diagnosis of …
Deep learning for skin lesion classification
Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of
melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and …
melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and …
Ensemble of convolutional neural networks for dermoscopic images classification
In this report, we are presenting our automated prediction system for disease classification
within dermoscopic images. The proposed solution is based on deep learning, where we …
within dermoscopic images. The proposed solution is based on deep learning, where we …
Deep learning for automatic diagnosis of skin cancer using dermoscopic images
SR Krishna, A Gudur, S Jain… - Journal of Artificial …, 2024 - ojs.istp-press.com
Over the past few years, the healthcare industry has seen a dramatic increase in the use of
intelligent automation enabled by artificial intelligence technology. These developments are …
intelligent automation enabled by artificial intelligence technology. These developments are …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Disease classification within dermascopic images using features extracted by resnet50 and classification through deep forest
S Ray - arXiv preprint arXiv:1807.05711, 2018 - arxiv.org
In this report we propose a classification technique for skin lesion images as a part of our
submission for ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection …
submission for ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection …
Deep ensemble learning for skin lesion classification from dermoscopic images
AH Shahin, A Kamal, MA Elattar - 2018 9th Cairo International …, 2018 - ieeexplore.ieee.org
Skin cancer is one of the leading causes of death globally. Early diagnosis of skin lesion
significantly increases the prevalence of recovery. Automatic classification of the skin lesion …
significantly increases the prevalence of recovery. Automatic classification of the skin lesion …
Skin lesion diagnosis using deep learning
HB Mureşan - 2019 IEEE 15th International Conference on …, 2019 - ieeexplore.ieee.org
Providing reliable computer aid to experts in medical fields is a very important objective as it
can improve the quality of healthcare, as well as reduce the associated costs. Most models …
can improve the quality of healthcare, as well as reduce the associated costs. Most models …
Classification of dermoscopy images using deep learning
ND Reddy - arXiv preprint arXiv:1808.01607, 2018 - arxiv.org
Skin cancer is one of the most common forms of cancer and its incidence is projected to rise
over the next decade. Artificial intelligence is a viable solution to the issue of providing …
over the next decade. Artificial intelligence is a viable solution to the issue of providing …
Experiments using deep learning for dermoscopy image analysis
CN Vasconcelos, BN Vasconcelos - Pattern Recognition Letters, 2020 - Elsevier
Skin cancer is a major public health problem, as is the most common type of cancer and
represents more than half of cancer diagnosed worldwide. Early detection influences the …
represents more than half of cancer diagnosed worldwide. Early detection influences the …