[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 …

Optimization of the convolutional neural networks for automatic detection of skin cancer

L Zhang, HJ Gao, J Zhang, B Badami - Open Medicine, 2020 - degruyter.com
Convolutional neural networks (CNNs) are a branch of deep learning which have been
turned into one of the popular methods in different applications, especially medical imaging …

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 …

Skin cancer diagnosis based on optimized convolutional neural network

N Zhang, YX Cai, YY Wang, YT Tian, XL Wang… - Artificial intelligence in …, 2020 - Elsevier
Early detection of skin cancer is very important and can prevent some skin cancers, such as
focal cell carcinoma and melanoma. Although there are several reasons that have bad …

[HTML][HTML] Automated detection of nonmelanoma skin cancer based on deep convolutional neural network

M Arif, FM Philip, F Ajesh, D Izdrui… - Journal of Healthcare …, 2022 - ncbi.nlm.nih.gov
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 …

Skin cancer detection using convolutional neural network

DC Malo, MM Rahman, J Mahbub… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …

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 …

[HTML][HTML] Comparative analysis of skin cancer (benign vs. malignant) detection using convolutional neural networks

MR Hasan, MI Fatemi, M Monirujjaman Khan… - Journal of Healthcare …, 2021 - hindawi.com
We live in a world where people are suffering from many diseases. Cancer is the most
threatening of them all. Among all the variants of cancer, skin cancer is spreading rapidly. It …

Deep learning-based computer aided diagnosis model for skin cancer detection and classification

D Adla, GVR Reddy, P Nayak, G Karuna - Distributed and Parallel …, 2022 - Springer
Skin cancer is a commonly occurring disease, which affects people of all age groups.
Automated detection of skin cancer is needed to decrease the death rate by identifying the …

Optimal skin cancer detection model using transfer learning and dynamic-opposite hunger games search

A Dahou, AO Aseeri, A Mabrouk, RA Ibrahim… - Diagnostics, 2023 - mdpi.com
Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …