Multi-features extraction based on deep learning for skin lesion classification
For various forms of skin lesion, many different feature extraction methods have been
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
investigated so far. Indeed, feature extraction is a crucial step in machine learning …
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 …
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 …
Machine learning and deep learning algorithms for skin cancer classification from dermoscopic images
S Bechelli, J Delhommelle - Bioengineering, 2022 - mdpi.com
We carry out a critical assessment of machine learning and deep learning models for the
classification of skin tumors. Machine learning (ML) algorithms tested in this work include …
classification of skin tumors. Machine learning (ML) algorithms tested in this work include …
Deep learning-based system for automatic melanoma detection
Melanoma is the deadliest form of skin cancer. Distinguishing melanoma lesions from non-
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
melanoma lesions has however been a challenging task. Many Computer Aided Diagnosis …
Skin cancer detection using ensemble of machine learning and deep learning techniques
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
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 …
The role of machine learning and deep learning approaches for the detection of skin cancer
Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized
care. The development of ML algorithms in dermatology has been supported lately …
care. The development of ML algorithms in dermatology has been supported lately …
COVID-DeepNet: hybrid multimodal deep learning system for improving COVID-19 pneumonia detection in chest X-ray images
AS Al-Waisy, MA Mohammed… - Computers …, 2021 - scholars.cityu.edu.hk
Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
Estimation and inference for high-dimensional generalized linear models with knowledge transfer
Transfer learning provides a powerful tool for incorporating data from related studies into a
target study of interest. In epidemiology and medical studies, the classification of a target …
target study of interest. In epidemiology and medical studies, the classification of a target …