Malignant skin melanoma detection using image augmentation by oversamplingin nonlinear lower-dimensional embedding manifold

OO Abayomi-Alli, R Damasevicius… - Turkish Journal of …, 2021 - journals.tubitak.gov.tr
The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in
a high mortality rate of the affected patients due to late detection. Some challenges affecting …

Melanoma detection and classification using computerized analysis of dermoscopic systems: a review

M Nasir, MA Khan, M Sharif, MY Javed… - Current Medical …, 2020 - ingentaconnect.com
Malignant melanoma is considered as one of the most deadly cancers, which has broadly
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …

Classification of melanoma from Dermoscopic data using machine learning techniques

B Janney. J, SE Roslin - Multimedia tools and applications, 2020 - Springer
Melanoma is a skin disorder, occurring in melanocytes. They are classified as Benign and
Malignant. The cure of melanoma is effective, if it can be recognized early. The most crucial …

Analysis of basic neural network types for automated skin cancer classification using Firefly optimization method

MSP Balaji, S Saravanan, M Chandrasekar… - Journal of Ambient …, 2021 - Springer
In recent days, cancer is a deadly disease because of its spreading nature to other cells, and
this disease is not identified at an early detection stage. Generally, the cancer is detected …

Classification of melanoma skin Cancer based on Image Data Set using different neural networks

R Sabir, T Mehmood - Scientific Reports, 2024 - nature.com
This paper aims to address the pressing issue of melanoma classification by leveraging
advanced neural network models, specifically basic Convolutional Neural Networks (CNN) …

Performance Analysis of UNet and Variants for Medical Image Segmentation

W Ehab, Y Li - arXiv preprint arXiv:2309.13013, 2023 - arxiv.org
Medical imaging plays a crucial role in modern healthcare by providing non-invasive
visualisation of internal structures and abnormalities, enabling early disease detection …

Melanoma detection in dermoscopic images using a cellular automata classifier

B Luna-Benoso, JC Martínez-Perales, J Cortés-Galicia… - Computers, 2022 - mdpi.com
Any cancer type is one of the leading death causes around the world. Skin cancer is a
condition where malignant cells are formed in the tissues of the skin, such as melanoma …

Melanoma skin cancer and nevus mole classification using intensity value estimation with convolutional neural network

NI Ashafuddula, R Islam - arXiv preprint arXiv:2209.15465, 2022 - arxiv.org
Melanoma skin cancer is one of the most dangerous and life-threatening cancer. Exposure
to ultraviolet rays may damage the skin cell's DNA, which causes melanoma skin cancer …

Lesion segmentation in dermoscopy images using particle swarm optimization and markov random field

K Eltayef, Y Li, X Liu - 2017 IEEE 30th International Symposium …, 2017 - ieeexplore.ieee.org
Malignant melanoma is one of the most rapidly increasing cancers globally and it is the most
dangerous form of human skin cancer. Dermoscopy is one of the major imaging modalities …

The effect of hair removal and filtering on melanoma detection: a comparative deep learning study with AlexNet CNN

A Quishpe-Usca, S Cuenca-Dominguez… - PeerJ Computer …, 2024 - peerj.com
Melanoma is the most aggressive and prevalent form of skin cancer globally, with a higher
incidence in men and individuals with fair skin. Early detection of melanoma is essential for …