AI-powered diagnosis of skin cancer: a contemporary review, open challenges and future research directions

N Melarkode, K Srinivasan, SM Qaisar, P Plawiak - Cancers, 2023 - mdpi.com
Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …

Medical image analysis using deep learning algorithms

M Li, Y Jiang, Y Zhang, H Zhu - Frontiers in Public Health, 2023 - frontiersin.org
In the field of medical image analysis within deep learning (DL), the importance of
employing advanced DL techniques cannot be overstated. DL has achieved impressive …

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 …

A non-invasive interpretable diagnosis of melanoma skin cancer using deep learning and ensemble stacking of machine learning models

IA Alfi, MM Rahman, M Shorfuzzaman, A Nazir - Diagnostics, 2022 - mdpi.com
A skin lesion is a portion of skin that observes abnormal growth compared to other areas of
the skin. The ISIC 2018 lesion dataset has seven classes. A miniature dataset version of it is …

Skin cancer classification using image processing and machine learning

A Javaid, M Sadiq, F Akram - 2021 international Bhurban …, 2021 - ieeexplore.ieee.org
One of the most rapidly spreading cancers among various other types of cancers known to
humans is skin cancer. Melanoma is the worst and the most dangerous type of skin cancer …

DenseNet-II: An improved deep convolutional neural network for melanoma cancer detection

N Girdhar, A Sinha, S Gupta - Soft computing, 2023 - Springer
Research in the field of medicine and relevant studies evince that melanoma is one of the
deadliest cancers. It defines precisely that the condition develops due to uncontrolled growth …

[HTML][HTML] A hybrid approach for melanoma classification using ensemble machine learning techniques with deep transfer learning

MR Thanka, EB Edwin, V Ebenezer… - Computer Methods and …, 2023 - Elsevier
Abstract Generally, Melanoma, Merkel cell cancer, Squamous cell carcinoma, and Basal cell
carcinoma, are the four major categories of skin cancers. In contrast to other cancer types …

Enhancement in Skin Cancer Detection using Image Super Resolution and Convolutional Neural Network

A Lembhe, P Motarwar, R Patil, S Elias - Procedia Computer Science, 2023 - Elsevier
Skin cancer has been one of the major worldwide public health issue with more than 1
million cases every year. Skin cancer is classified into three categories: Basal Cell …

Model hybridization & learning rate annealing for skin cancer detection

T Diwan, R Shukla, E Ghuse, JV Tembhurne - Multimedia Tools and …, 2023 - Springer
The increasing frequency of skin tumour across the globe and their timely diagnosis is one
of the most promising research directions in the healthcare domain. The most important …

Melanoma skin cancer detection using image processing and machine learning techniques

MAA Thaajwer, UAP Ishanka - 2020 2nd international …, 2020 - ieeexplore.ieee.org
In humans, skin cancer is the most common and severe type of cancer. Melanoma is a
deadly type of skin cancer. If it identifies early stages, it can be easily cured. The formal …