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

I Abunadi, EM Senan - Electronics, 2021 - mdpi.com
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …

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

B Shetty, R Fernandes, AP Rodrigues… - Scientific Reports, 2022 - nature.com
Detecting dangerous illnesses connected to the skin organ, particularly malignancy,
requires the identification of pigmented skin lesions. Image detection techniques and …

Skin disease classification using dermoscopy images through deep feature learning models and machine learning classifiers

S Gupta, A Panwar, K Mishra - IEEE EUROCON 2021-19th …, 2021 - ieeexplore.ieee.org
Skin is one of the very important and largest organs of the human body that helps in
regulating the body temperature and is responsible for sensations such as feel, touch, hot …

Detection of skin diseases from dermoscopy image using the combination of convolutional neural network and one-versus-all

K Polat, KO Koc - Journal of Artificial Intelligence and Systems, 2020 - iecscience.org
The use of deep learning in the field of image processing is increasing. In this study, a new
method based on Convolutional Neural Network is proposed to detect skin diseases …

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
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …

Towards improving diagnosis of skin diseases by combining deep neural network and human knowledge

X Zhang, S Wang, J Liu, C Tao - BMC medical informatics and decision …, 2018 - Springer
Background The emergence of the deep convolutional neural network (CNN) greatly
improves the quality of computer-aided supporting systems. However, due to the challenges …

Automatic skin cancer detection in dermoscopy images by combining convolutional neural networks and texture features

SM Alizadeh, A Mahloojifar - International Journal of Imaging …, 2021 - Wiley Online Library
Melanoma is one of the most dangerous types of skin cancer that its early detection can
save patients' lives. Computer‐aided methods can be used for this early detection with …

Deep ensemble learning for skin lesions classification with convolutional neural network

RA Pratiwi, S Nurmaini, DP Rini… - … Journal of Artificial …, 2021 - search.proquest.com
One type of skin cancer that is considered a malignant tumor is melanoma. Such a
dangerous disease can cause a lot of death in the world. The early detection of skin lesions …

An automated deep learning models for classification of skin disease using Dermoscopy images: A comprehensive study

V Anand, S Gupta, SR Nayak, D Koundal… - Multimedia Tools and …, 2022 - Springer
With the explosion of advanced Information and Recognition model, primarily the Deep
Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been …

[HTML][HTML] Hybrid convolutional neural networks with SVM classifier for classification of skin cancer

D Keerthana, V Venugopal, MK Nath… - Biomedical Engineering …, 2023 - Elsevier
Background: The dermatologist widely uses digital dermoscopy for the detection of
melanoma. The accurate detection of melanoma by clinicians is subjective and further …