[HTML][HTML] Skin cancer detection: a review using deep learning techniques

M Dildar, S Akram, M Irfan, HU Khan… - International journal of …, 2021 - mdpi.com
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …

Deep learning ensembles for melanoma recognition in dermoscopy images

NCF Codella, QB Nguyen, S Pankanti… - IBM Journal of …, 2017 - ieeexplore.ieee.org
Melanoma is the deadliest form of skin cancer. While curable with early detection, only
highly trained specialists are capable of accurately recognizing the disease. As expertise is …

Pancreatic Cancer Survival Prediction: A Survey of the State‐of‐the‐Art

W Bakasa, S Viriri - Computational and Mathematical Methods …, 2021 - Wiley Online Library
Cancer early detection increases the chances of survival. Some cancer types, like
pancreatic cancer, are challenging to diagnose or detect early, and the stages have a fast …

Skin disease recognition method based on image color and texture features

L Wei, Q Gan, T Ji - Computational and mathematical methods …, 2018 - Wiley Online Library
Skin diseases have a serious impact on people's life and health. Current research proposes
an efficient approach to identify singular type of skin diseases. It is necessary to develop …

[HTML][HTML] Classification of skin disease using ensemble data mining techniques

AK Verma, S Pal, S Kumar - Asian Pacific journal of cancer …, 2019 - ncbi.nlm.nih.gov
Objective: Skin diseases are a major global health problem associated with high number of
people. With the rapid development of technologies and the application of various data …

Skin cancer detection using kernel fuzzy C-means and developed red fox optimization algorithm

Z Fu, J An, Q Yang, H Yuan, Y Sun… - … Signal Processing and …, 2022 - Elsevier
The present study provides an optimal pipeline methodology for the accurate diagnosis of
melanoma from dermoscopy images. Here, after image preprocessing, the region of interest …

Early predicting tribocorrosion rate of dental implant titanium materials using random forest machine learning models

RA Ramachandran, VAR Barão, D Ozevin… - Tribology …, 2023 - Elsevier
Early detection and prediction of bio-tribocorrosion can avert unexpected damage that may
lead to secondary revision surgery and associated risks of implantable devices. Therefore …

Prediction of skin disease using ensemble data mining techniques and feature selection method—a comparative study

AK Verma, S Pal, S Kumar - Applied biochemistry and biotechnology, 2020 - Springer
Nowadays, skin disease is a major problem among peoples worldwide. Different machine
learning techniques are applied to predict the various classes of skin disease. In this …

[HTML][HTML] Comparison of skin disease prediction by feature selection using ensemble data mining techniques

AK Verma, S Pal, S Kumar - Informatics in Medicine Unlocked, 2019 - Elsevier
Background Skin disease is a major problem among people worldwide. Different machine
learning techniques can be applied to identify classes of skin disease. Herein, we have …

Skin lesion detection based on deep neural networks

P Choudhary, J Singhai, JS Yadav - Chemometrics and Intelligent …, 2022 - Elsevier
The skin lesion classification is a difficult challenge as a result of the unique features of the
skin lesions and their range of forms, especially because of the identification problem of …