[PDF][PDF] Classification of dermoscopy images for early detection of skin cancer–a review

EM Senan, ME Jadhav - International Journal of Computer …, 2019 - researchgate.net
… The results of the work using automated method of classification on dermoscopy image. …
done on classification and early detection of skin cancer in dermoscopy images have been …

Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases

I Abunadi, EM Senan - Electronics, 2021 - mdpi.com
images and in the accurate early detection of skin diseases. In this study, systems for the early
detection … shown during the image classification of the ISIC 2018 and PH2 datasets for the …

A methodological approach to the classification of dermoscopy images

ME Celebi, HA Kingravi, B Uddin, H Iyatomi… - … Medical imaging and …, 2007 - Elsevier
Early diagnosis is particularly important since melanoma can be cured with a simple excision
if detected early. Dermoscopy is a non-invasive skin imaging technique that uses optical …

AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features

F Olayah, EM Senan, IA Ahmed, B Awaji - Diagnostics, 2023 - mdpi.com
… [25] propose three CNN models to classify dermoscopy images for the HAM10000 and
ISIC 2018 datasets, and their results are compared. Inception-V3 achieved 96% and 93% …

Skin lesion classification from dermoscopic images using deep learning techniques

AR Lopez, X Giro-i-Nieto, J Burdick… - 2017 13th IASTED …, 2017 - ieeexplore.ieee.org
Early detection is imperative: the lives of melanoma pa tients depend on accurate and early
diagnosis… accuracy for melanoma detection is reported to be between 65 and 80% [3]. Use of …

Skin lesion classification of dermoscopic images using machine learning and convolutional neural network

B Shetty, R Fernandes, AP Rodrigues… - Scientific Reports, 2022 - nature.com
… The proposed work helps early identification of seven classes of skin disease and can …
classify pigmented skin lesions in dermoscopic images to detect malignant skin lesions as early

Computer-aided classification of melanocytic lesions using dermoscopic images

LK Ferris, JA Harkes, B Gilbert, DG Winger… - Journal of the American …, 2015 - Elsevier
… are rarely fatal and early detection is not associated with improved survival, we would like
to optimize our classifier's performance on these common tumors. In our reader study, we only …

Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

I Iqbal, M Younus, K Walayat, MU Kakar, J Ma - … medical imaging and …, 2021 - Elsevier
… of multi-class classification of skin lesions with … classify dermoscopic skin lesion images
into multiple classes. This approach is good to expedite the automated multi-class classification

Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models

M Alshahrani, M Al-Jabbar, EM Senan, IA Ahmed… - Plos one, 2024 - journals.plos.org
… approach for the early identification of skin lesions using dermoscopy images. The approach
… , MobileNet, and VGG19, with the classification capabilities of RF and FFNN architectures. …

Classification of dermoscopy patterns using deep convolutional neural networks

S Demyanov, R Chakravorty, M Abedini… - … biomedical imaging …, 2016 - ieeexplore.ieee.org
… Even though melanoma is one of the most common and fatal types of skin cancers, early
detection of the disease can significantly reduce mortality rate [1]. For this purpose, experts use …