Novel approaches for diagnosing melanoma skin lesions through supervised and deep learning algorithms
J Premaladha, KS Ravichandran - Journal of medical systems, 2016 - Springer
Dermoscopy is a technique used to capture the images of skin, and these images are useful
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …
Automated deep learning approach for classification of malignant melanoma and benign skin lesions
W Salma, AS Eltrass - Multimedia Tools and Applications, 2022 - Springer
Skin cancer becomes a significant health problem worldwide with an increasing incidence
over the past decades. Due to the fine-grained differences in the appearance of skin lesions …
over the past decades. Due to the fine-grained differences in the appearance of skin lesions …
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 …
Developing a recognition system for diagnosing melanoma skin lesions using artificial intelligence algorithms
FW Alsaade, THH Aldhyani… - … methods in medicine, 2021 - Wiley Online Library
In recent years, computerized biomedical imaging and analysis have become extremely
promising, more interesting, and highly beneficial. They provide remarkable information in …
promising, more interesting, and highly beneficial. They provide remarkable information in …
Melanoma detection using deep learning-based classifications
One of the most prevalent cancers worldwide is skin cancer, and it is becoming more
common as the population ages. As a general rule, the earlier skin cancer can be …
common as the population ages. As a general rule, the earlier skin cancer can be …
MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images
Skin cancer is considered one of the most dangerous and popular sorts of cancer. The
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …
[PDF][PDF] Artificial intelligence algorithm with SVM classification using dermascopic images for melanoma diagnosis
V Balasubramaniam - Journal of Artificial Intelligence and …, 2021 - scholar.archive.org
Of all suspicious pigmented skin lesions considered for analysis, a large portion is often
benign. The pressure of pathology services and secondary care must be reduced …
benign. The pressure of pathology services and secondary care must be reduced …
[PDF][PDF] Computer-aided model for skin diagnosis using deep learning
Melanoma is the deadliest kind of skin cancer. However, it's hard to identify melanoma
during its early to mid stages by visual examination. So, there is a call for an automated …
during its early to mid stages by visual examination. So, there is a call for an automated …
[PDF][PDF] A machine learning model for skin disease classification using convolution neural network
VR Allugunti - … Journal of Computing, Programming and Database …, 2022 - researchgate.net
Melanoma is a skin disease that tends to be lethal. It occurs when melanocytes develop in
an uncontrolled manner. Melanoma goes under a few different names, including malignant …
an uncontrolled manner. Melanoma goes under a few different names, including malignant …
A Computer-aided diagnosis system for classifying prominent skin lesions using machine learning
Skin diseases are the 4th leading cause of skin burden worldwide. Computer-aided
diagnosis (CAD) systems have been developed to lessen this burden and to help the …
diagnosis (CAD) systems have been developed to lessen this burden and to help the …