State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

H Bhatt, V Shah, K Shah, R Shah, M Shah - Intelligent Medicine, 2023 - mednexus.org
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …

An innovation prediction of DNA damage of melanoma skin cancer patients using deep learning

R Ramakrishnan, MA Mohammed… - 2023 14th …, 2023 - ieeexplore.ieee.org
There are now a variety of intriguing options for the study of genetic data thanks to recent
developments in artificial neural networks and deep learning. In this study, we use a deep …

Concatenated Xception-ResNet50—A novel hybrid approach for accurate skin cancer prediction

A Panthakkan, SM Anzar, S Jamal… - Computers in Biology and …, 2022 - Elsevier
Skin cancer is a malignant disease that affects millions of people around the world every
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …

[HTML][HTML] Innovative approaches for skin disease identification in machine learning: A comprehensive study

K Vayadande - Oral Oncology Reports, 2024 - Elsevier
Skin diseases encompass a vast array of conditions, ranging from common dermatological
concerns to rare and complex disorders, collectively posing a significant burden on global …

[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 …

Skin cancer detection and classification based on differential analyzer algorithm

U Saghir, M Hasan - Multimedia Tools and Applications, 2023 - Springer
Skin cancer is one of the world's scariest diseases, having taken the lives of thousands of
people. It can be treated if diagnosed at the right time. According to WHO, every year …

Enhanced melanoma detection using a fuzzy ensemble approach integrating hybrid optimization algorithm

SV Priyan, K Rajalakshmi, JP Inbakumar… - … Signal Processing and …, 2024 - Elsevier
The high death rate of melanoma makes it an important public health issue all over the
world. Therefore, early detection of melanoma is crucial for a good prognosis. Deriving …

Detection and diagnosis of melanoma skin cancers in dermoscopic images using pipelined internal module architecture (PIMA) method

G Bharathi, M Malleswaran… - Microscopy Research …, 2023 - Wiley Online Library
Detection and diagnosis of melanoma skin cancer is important to save the life of humans.
The main objective of this article is to perform both detection and diagnosis of the skin …

Classification of skin cancer segmentation using hybrid partial differential equation with fuzzy clustering based on machine learning techniques

P Kavitha, V Jayalakshmi… - … Conference on Edge …, 2022 - ieeexplore.ieee.org
Skin cancer, particularly melanoma skin cancer is a serious public health concern today.
The majority of skin cancers may be treated if caught early enough. The fast proliferation of …

Skin Cancer Detection Using Deep Learning Technique

D Hemalatha, KN Latha… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
One of the most deadly forms of cancer is skin cancer. Due to its relatively high difficult and
expensive diagnosis, as well as human subjectivity and challenges, dermatological …