Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making

N Saleh, MA Hassan, AM Salaheldin - Scientific Reports, 2024 - nature.com
Skin cancer is a type of cancer disease in which abnormal alterations in skin characteristics
can be detected. It can be treated if it is detected early. Many artificial intelligence-based …

Skin cancer diagnosis: Leveraging deep hidden features and ensemble classifiers for early detection and classification

G Akilandasowmya, G Nirmaladevi, SU Suganthi… - … Signal Processing and …, 2024 - Elsevier
Problem Cancer is a deadly disease that requires better diagnostics. Early detection
improves skin cancer survival. Due to skin lesion dissimilarity, automated image …

DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework

N Veeramani, P Jayaraman, R Krishankumar… - Scientific Reports, 2024 - nature.com
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …

Skin cancer identification utilizing deep learning: A survey

D Meedeniya, S De Silva, L Gamage… - IET Image …, 2024 - Wiley Online Library
Melanoma, a highly prevalent and lethal form of skin cancer, has a significant impact
globally. The chances of recovery for melanoma patients substantially improve with early …

Efficient Harris Hawk optimization (HHO)-based framework for accurate skin cancer prediction

WN Ismail, HA Alsalamah - Mathematics, 2023 - mdpi.com
The prediction of skin cancer poses a number of challenges due to the differences in visual
characteristics between melanoma, basal cell carcinomas, and squamous cell carcinomas …

Enhanced Multi-Class Skin Lesion Classification of Dermoscopic Images Using an Ensemble of Deep Learning Models

KP Zaw, A Mon - Journal of Computing Theories and …, 2024 - dl.futuretechsci.org
This study presents an advanced approach to multi-class skin lesion classification by
leveraging an ensemble model comprising the Inception-V3, ResNet-50, and VGG16 …

[PDF][PDF] Convolutional Neural Network with Coordinate Attention Module for the Detection of Skin Cancer.

U Thirugnanam, N Joseph, U Srikanth… - International Journal of …, 2024 - inass.org
Skin cancer is one of the most common types of cancer globally, by increasing occurrence
rates each year. It is a predominant kind of cancer which rises from the uncontrolled growth …

[PDF][PDF] Integrating Deep Learning with Dermoscopic Imaging for Enhanced Melanoma Detection

G Herrick, M Mukarram, V Li, E Skemp… - Ameri J Clin Med Re …, 2024 - researchgate.net
The integration of deep learning with dermoscopic imaging presents a promising
advancement in the early detection and diagnosis of melanoma, a deadly form of skin …