[HTML][HTML] A comprehensive study on skin cancer detection using artificial neural network (ANN) and convolutional neural network (CNN)

A Shah, M Shah, A Pandya, R Sushra, R Sushra… - Clinical eHealth, 2023 - Elsevier
Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …

A Review on Utilizing Machine Learning Classification Algorithms for Skin Cancer

A Abdulazeez - Journal of Applied Science and Technology Trends, 2024 - jastt.org
Skin cancer is one of the most prevalent forms of cancer globally, with rising incidence rates
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …

Skin cancer detection using combined decision of deep learners

A Imran, A Nasir, M Bilal, G Sun, A Alzahrani… - IEEE …, 2022 - ieeexplore.ieee.org
Cancer is a deadly disease that arises due to the growth of uncontrollable body cells. Every
year, a large number of people succumb to cancer and it's been labeled as the most serious …

Skin cancer detection from dermoscopic images using Deep Siamese domain adaptation convolutional Neural Network optimized with Honey Badger Algorithm

P Narmatha, S Gupta, TRV Lakshmi… - … Signal Processing and …, 2023 - Elsevier
Melanoma skin cancer poses significant challenges in terms of early detection and accurate
diagnosis. It often goes unnoticed in its early stages, leading to advanced diagnoses with …

Detection and classification of melanoma skin cancer using image processing technique

CK Viknesh, PN Kumar, R Seetharaman, D Anitha - Diagnostics, 2023 - mdpi.com
Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …

Skin cancer detection using dual optimization based deep learning network

E Gomathi, M Jayasheela, M Thamarai… - … Signal Processing and …, 2023 - Elsevier
Skin cancer is the most perilous kind of cancer, which is a most important public health
problem. Skin cancer can be prevented and treated more effectively if malignant lesions are …

An extensive investigation into the use of machine learning tools and deep neural networks for the recognition of skin cancer: challenges, future directions, and a …

SI Hussain, E Toscano - Symmetry, 2024 - mdpi.com
Skin cancer poses a serious risk to one's health and can only be effectively treated with early
detection. Early identification is critical since skin cancer has a higher fatality rate, and it …

Critical analysis of the current medical image-based processing techniques for automatic disease evaluation: systematic literature review

BM Rashed, N Popescu - Sensors, 2022 - mdpi.com
Medical image processing and analysis techniques play a significant role in diagnosing
diseases. Thus, during the last decade, several noteworthy improvements in medical …

[HTML][HTML] Systematic Review of Deep Learning Techniques in Skin Cancer Detection

C Magalhaes, J Mendes, R Vardasca - BioMedInformatics, 2024 - mdpi.com
Skin cancer is a serious health condition, as it can locally evolve into disfiguring states or
metastasize to different tissues. Early detection of this disease is critical because it increases …

Audio emotion recognition by deep neural networks and machine learning algorithms

RR Subramanian, Y Sireesha… - … on Advancements in …, 2021 - ieeexplore.ieee.org
One of the most stimulating tasks is speech emotion recognition. In our work, to make use of
sound files as input for machine learning algorithm (SVM) and deep learning algorithm …