A Review on Utilizing Machine Learning Classification Algorithms for Skin Cancer

A Abdulazeez - Journal of Applied Science and Technology Trends, 2024 - jastt.org
Skin cancer is one of the most prevalent forms of cancer globally, with rising incidence rates
posing significant challenges to healthcare systems. Early detection and accurate diagnosis …

Analysis of Convolutional Neural Networks on Indian food detection and estimation of calories

S Sathish, S Ashwin, MA Quadir, LK Pavithra - Materials Today …, 2022 - Elsevier
Indian Cuisine has a peculiar aroma and flavour distinct from other cuisines. On the other
hand, Obesity, Diabetes, and Hypercholesterolemia are severe problems in the Republic of …

The power of generative ai to augment for enhanced skin cancer classification: A deep learning approach

M Saeed, A Naseer, H Masood, SU Rehman… - IEEE …, 2023 - ieeexplore.ieee.org
Skin cancer, particularly the malignant melanoma subtype, is widely recognized as a highly
lethal form of cancer characterized by abnormal melanocyte cell growth. However …

Study of Skin Cancer Detection Using Images: A Literature Review

RR Babu, FM Philip - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
Skin cancer has become an important reason for human death in recent years. In the United
States alone, the disease affects roughly three million people annually. As the disease …

[PDF][PDF] Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map.

K Priyadarsini, AK Sivaraman, AQ Md… - Computers, Materials & …, 2023 - researchgate.net
With the rapid evolution of Internet technology, fog computing has taken a major role in
managing large amounts of data. The major concerns in this domain are security and …

[HTML][HTML] V-NET-VGG16: Hybrid deep Learning Architecture for Optimal Segmentation and Classification of Multi-Differentiated Liver Tumors

AB Slama, H Sahli, Y Amri, S Labidi - Intelligence-Based Medicine, 2025 - Elsevier
Liver cancer is a leading cause of cancer-related mortality worldwide, underscoring the
importance of early and accurate diagnosis. This study aims to develop an automatic system …

Intruder detection system using IoT with adaptive face monitoring and motion sensing algorithm

A Jojo, GK Sunil, AQ Md, T Vigneswaran… - 2022 Third …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) conceptualizes the possibility of distantly interfacing and checking
things through the web. At the point when it includes our home, this thought is frequently …

[HTML][HTML] EOSA-Net: A deep learning framework for enhanced multi-class skin cancer classification using optimized convolutional neural networks

JST Purni, R Vedhapriyavadhana - … of King Saud University-Computer and …, 2024 - Elsevier
Most cancer diagnoses are inevitably fatal, and an increasing number of genetic and
metabolic abnormalities are being identified by experts as the disease's cause. Every organ …

[PDF][PDF] Performance and Accuracy Enhancement During Skin Disease Detection in Deep Learning

P Kaur - Int. J. Exp. Res. Rev, 2023 - academia.edu
Epidermolysis bullosa is a type of skin cancer that is consistently ranked as among the worst
diseases in the world. Accurate categorization of skin lesions in their early stages may assist …

Reliability of smart-wearables using PSO-GA optimized algorithm in terms of data analysis

J Sivakumar, AQ Md, T Vigneswaran… - 2022 Third …, 2022 - ieeexplore.ieee.org
Rapid advancement in the smart-wearable industry has increased the importance of
modeling the relationship between the raw data captured by the devices and the useful …