Melanoma classification from dermoscopy images using ensemble of convolutional neural networks
Human skin is the most exposed part of the human body that needs constant protection and
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …
Comparative analysis of melanoma classification using deep learning techniques on dermoscopy images
JP Jeyakumar, A Jude, AG Priya Henry, J Hemanth - Electronics, 2022 - mdpi.com
Melanoma is developed due to disturbances in the melanocytes of the skin cells. Every
human skin color is defined by melanin, which is produced by melanocytes. Around the …
human skin color is defined by melanin, which is produced by melanocytes. Around the …
Melanoma skin lesions classification using deep convolutional neural network with transfer learning
Skin cancer is basically the unnatural growth of skin tissues and it can be fatal. Lately, it has
evolved into one of the most perilous types of other cancers in the human body. Premature …
evolved into one of the most perilous types of other cancers in the human body. Premature …
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 …
Skin lesion classification based on convolutional neural network
C Agyenta, M Akanzawon - Journal of Applied Science and Technology …, 2022 - jastt.org
Skin cancer is one of the most common cancers, and its early detection can have a huge
impact on its outcomes. Deep learning, especially convolutional neural networks, perform …
impact on its outcomes. Deep learning, especially convolutional neural networks, perform …
Acral melanoma detection using dermoscopic images and convolutional neural networks
Acral melanoma (AM) is a rare and lethal type of skin cancer. It can be diagnosed by expert
dermatologists, using dermoscopic imaging. It is challenging for dermatologists to diagnose …
dermatologists, using dermoscopic imaging. It is challenging for dermatologists to diagnose …
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 …
Melanoma skin lesion classification using improved efficientnetb3
SR Salian, SD Sawarkar - Jordanian Journal of Computers …, 2022 - search.proquest.com
Malignant skin cancer is one the most common and lethal type of skin cancer. Early
detection of cancerous skin lesions will increase the possibility of patient survival. In recent …
detection of cancerous skin lesions will increase the possibility of patient survival. In recent …
Automatic classification of melanoma skin cancer with deep convolutional neural networks
K Aljohani, T Turki - Ai, 2022 - mdpi.com
Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
Melanoma cancer classification using resnet with data augmentation
A Budhiman, S Suyanto… - 2019 international seminar …, 2019 - ieeexplore.ieee.org
Melanoma skin cancer is cancer that difficult to detect. In this study, have been done
melanoma cancer classification using Convolutional Neural Network (CNN). CNN is a class …
melanoma cancer classification using Convolutional Neural Network (CNN). CNN is a class …