Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
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 …
[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 …
Skin lesions classification into eight classes for ISIC 2019 using deep convolutional neural network and transfer learning
MA Kassem, KM Hosny, MM Fouad - IEEE Access, 2020 - ieeexplore.ieee.org
Melanoma is a type of skin cancer with a high mortality rate. The different types of skin
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
lesions result in an inaccurate diagnosis due to their high similarity. Accurate classification of …
Multiclass skin lesion classification using hybrid deep features selection and extreme learning machine
The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
Transfer learning for medical images analyses: A survey
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …
science and also revitalized numerous fields where traditional machine learning methods …
Breast cancer classification from histopathological images using patch-based deep learning modeling
Accurate detection and classification of breast cancer is a critical task in medical imaging
due to the complexity of breast tissues. Due to automatic feature extraction ability, deep …
due to the complexity of breast tissues. Due to automatic feature extraction ability, deep …
Brain tumor classification using fine-tuned GoogLeNet features and machine learning algorithms: IoMT enabled CAD system
In the healthcare research community, Internet of Medical Things (IoMT) is transforming the
healthcare system into the world of the future internet. In IoMT enabled Computer aided …
healthcare system into the world of the future internet. In IoMT enabled Computer aided …
Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities
Melanoma remains the most harmful form of skin cancer. Convolutional neural network
(CNN) based classifiers have become the best choice for melanoma detection in the recent …
(CNN) based classifiers have become the best choice for melanoma detection in the recent …
Classification of skin lesions into seven classes using transfer learning with AlexNet
KM Hosny, MA Kassem, MM Fouad - Journal of digital imaging, 2020 - Springer
Melanoma is deadly skin cancer. There is a high similarity between different kinds of skin
lesions, which lead to incorrect classification. Accurate classification of a skin lesion in its …
lesions, which lead to incorrect classification. Accurate classification of a skin lesion in its …