A de-ann inspired skin cancer detection approach using fuzzy c-means clustering

M Kumar, M Alshehri, R AlGhamdi, P Sharma… - Mobile Networks and …, 2020 - Springer
As per recent developments in medical science, the skin cancer is considered as one of the
common type disease in human body. Although the presence of melanoma is viewed as a …

Fuzzy logic with deep learning for detection of skin cancer

SK Singh, V Abolghasemi, MH Anisi - Applied Sciences, 2023 - mdpi.com
Featured Application Deep learning-based diagnosis of a suspicious lesion using a simple
handheld device such as smartphone. Awareness and frequency of diagnosis of malignant …

[HTML][HTML] Designing a grey wolf optimization based hyper-parameter optimized convolutional neural network classifier for skin cancer detection

R Mohakud, R Dash - Journal of King Saud University-Computer and …, 2022 - Elsevier
Abstract In recent history, Convolutional Neural Networks have attained breakthroughs in
addressing many intractable problems in the domain of image processing. But its …

Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering

M Nawaz, Z Mehmood, T Nazir… - Microscopy research …, 2022 - Wiley Online Library
Melanoma skin cancer is the most life‐threatening and fatal disease among the family of
skin cancer diseases. Modern technological developments and research methodologies …

Vision based detection and categorization of skin lesions using deep learning neural networks

V Srividhya, K Sujatha, RS Ponmagal… - Procedia Computer …, 2020 - Elsevier
Melanoma is the deadly form of skin cancer. The melanocyte serves as the cause for the
development of a malignant tumor on the skin. The dermatological photographs are used to …

[Retracted] Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network

M Arif, FM Philip, F Ajesh, D Izdrui… - Journal of …, 2022 - Wiley Online Library
One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance
between different skin lesions such as melanoma and nevus in the skin colour images …

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 …

[Retracted] A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification

P Thapar, M Rakhra, G Cazzato… - Journal of Healthcare …, 2022 - Wiley Online Library
Skin cancer is one of the most common diseases that can be initially detected by visual
observation and further with the help of dermoscopic analysis and other tests. As at an initial …

Computer-aided diagnosis of skin cancer based on soft computing techniques

Z Xu, FR Sheykhahmad, N Ghadimi, N Razmjooy - Open Medicine, 2020 - degruyter.com
Skin cancer is a type of disease in which malignant cells are formed in skin tissues.
However, skin cancer is a dangerous disease, and an early detection of this disease helps …

Skin cancer disease images classification using deep learning solutions

MM Mijwil - Multimedia Tools and Applications, 2021 - Springer
Skin cancer is a type of dangerous disease, and early detection is necessary to increases
the survival rate. In recent years, deep learning models applied to computerized skin cancer …