Skin cancer detection: a review using deep learning techniques
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …
Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
Bcn20000: Dermoscopic lesions in the wild
This article summarizes the BCN20000 dataset, composed of 19424 dermoscopic images of
skin lesions captured from 2010 to 2016 in the facilities of the Hospital Cl\'inic in Barcelona …
skin lesions captured from 2010 to 2016 in the facilities of the Hospital Cl\'inic in Barcelona …
Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network
Skin cancer is caused due to unusual development of skin cells and deadly type cancer.
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Early diagnosis is very significant and can avoid some categories of skin cancers, such as …
Attention residual learning for skin lesion classification
Automated skin lesion classification in dermoscopy images is an essential way to improve
the diagnostic performance and reduce melanoma deaths. Although deep convolutional …
the diagnostic performance and reduce melanoma deaths. Although deep convolutional …
Melanoma classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
Region-of-interest based transfer learning assisted framework for skin cancer detection
Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …
mortality rate is much high for melanoma in contrast with other cancer. There are various …
Medical image classification using synergic deep learning
The classification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Although deep learning has shown proven advantages …
medical image retrieval and mining. Although deep learning has shown proven advantages …
A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …
Novel transfer learning approach for medical imaging with limited labeled data
Deep learning requires a large amount of data to perform well. However, the field of medical
image analysis suffers from a lack of sufficient data for training deep learning models …
image analysis suffers from a lack of sufficient data for training deep learning models …