A Review of Recent Advances in Computer-Aided Detection Methods Using Hyperspectral Imaging Engineering to Detect Skin Cancer

HY Huang, YP Hsiao, R Karmakar, A Mukundan… - Cancers, 2023 - mdpi.com
Simple Summary Recent advancements in this field have shown continuous improvement,
with CAD algorithms enhancing diagnosis accuracy. The study systematically analyzes …

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 …

Melanoma classification from dermoscopy images using ensemble of convolutional neural networks

R Raza, F Zulfiqar, S Tariq, GB Anwar, AB Sargano… - Mathematics, 2021 - mdpi.com
Human skin is the most exposed part of the human body that needs constant protection and
care from heat, light, dust, and direct exposure to other harmful radiation, such as UV rays …

A deep CNN model for skin cancer detection and classification

MS Junayed, N Anjum, A Noman, B Islam - 2021 - otik.uk.zcu.cz
Skin cancer is one of the most dangerous types of cancers that affect millions of people
every year. The detection of skin cancer in the early stages is an expensive and challenging …

Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform

Ç Suiçmez, HT Kahraman, A Suiçmez, C Yılmaz… - … Signal Processing and …, 2023 - Elsevier
Melanoma is one of the most dangerous types of skin cancer. Detecting melanoma is
complicated and takes too much time, which doctors and healthcare professionals …

The contribution of AI in the detection of the Diabetic Retinopathy

E Vocaturo, E Zumpano - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
The prevalence of diabetes is rising worldwide and in the last two decades, blindness and
low vision due to diabetic eye complications have greatly increased. International Diabetes …

Analysis of Automated Melanoma Detection Utilizing Machine Learning and Deep Learning Techniques: A Review

A Ullah, FBA Razak, R Hassnae… - … Journal of Image and …, 2024 - World Scientific
Skin cancer is described as an abnormal, exponential growth of skin cells that originate from
melanocytes due to DNA impair or damage. It is threatening because of its ability to …

Enhanced dermatoscopic skin lesion classification using machine learning techniques

P Varalakshmi, VA Devi, M Ezhilarasi… - … signal processing and …, 2021 - ieeexplore.ieee.org
Malicious melanoma will create greatest impact to the people. Most of the research was
done on this field to find out the benign and malignant images and also to classify the …

Machine Learning Approaches for Skin Neoplasm Diagnosis

A Asaduzzaman, CC Thompson, MJ Uddin - ACS omega, 2024 - ACS Publications
Approaches for skin neoplasm diagnosis include physical exam, skin biopsy, lab tests of
biopsy samples, and image analyses. These approaches often involve error-prone and time …

Revealing brain tumor with federated learning

L Caroprese, T Ruga, E Vocaturo… - … on Bioinformatics and …, 2023 - ieeexplore.ieee.org
Brain and other nervous system cancer ranks as the tenth most common cause of death.
According to estimates, primary cancerous brain and central nervous system tumors will be …