IoT-Based Kalman Filtering and Particle Swarm Optimization for Detecting Skin Lesion

J Ramkumar, S Samson Dinakaran, M Lingaraj… - … Applications in Modern …, 2023 - Springer
In the current world, IoT has started providing multiple services that exploit the computing
power of numerous devices. IoT-based healthcare applications are observed as a …

An optimized intelligent dermatologic disease classification framework based on IoT

S Chakraborty, S Chatterjee, K Mali - Intelligent Computing: Image …, 2020 - Springer
Internet of things (IoT) is one of the recent concepts that provide many services by exploiting
the computational power of several devices. One of the emerging applications of the IoT …

[PDF][PDF] An Efficient Hybrid Optimization for Skin Cancer Detection Using PNN Classifier.

JJ Femil, T Jaya - Comput. Syst. Sci. Eng., 2023 - academia.edu
The necessity of on-time cancer detection is extremely high in the recent days as it becomes
a threat to human life. The skin cancer is considered as one of the dangerous diseases …

Internet of medical things (iomt) enabled skin lesion detection and classification using optimal segmentation and restricted Boltzmann machines

A Peter Soosai Anandaraj, V Gomathy… - Cognitive Internet of …, 2021 - Springer
In recent times, Internet of Medical Things (IoMT) and cloud enabled healthcare applications
and services finds helpful for effective decision-making. Melanoma is the serious kind of skin …

An enhanced model for skin disease detection using dragonfly optimization based deep neural network

K Melbin, YJV Raj - 2019 Third International conference on I …, 2019 - ieeexplore.ieee.org
In this paper, we have proposed an efficient skin disease identification approach using
enhanced deep neural network model. The database images are segmented using …

[PDF][PDF] Image-based Skin Disease Detection and Classification through Bioinspired Machine Learning Approaches

AK Mandal, PKD Sarma, S Dehuri - … on Recent and Innovation Trends in …, 2023 - core.ac.uk
A self-learning disease detection model will be useful for identifying skin infections in
suspected individuals using skin images of infected patients. To detect skin diseases, some …

Skin lesion segmentation using k-mean and optimized fire fly algorithm

S Garg, B Jindal - Multimedia Tools and Applications, 2021 - Springer
Digital image processing is turning out to be increasingly more significant in the health care
field used to diagnose skin cancer. The death rate is increasing by 1% every year due to …

Intelligent system for skin disease prediction using machine learning

AA Elngar, R Kumar, A Hayat… - Journal of Physics …, 2021 - iopscience.iop.org
Skin is an extraordinary human structure. It frequently suffered from many known and
unknown disease. Therefore, diagnosis of human skin diseases is the most uncertain and …

OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases

B Kalpana, AK Reshmy, SS Pandi… - … Signal Processing and …, 2023 - Elsevier
The most widespread disease that often puts the patient's life in danger is skin disease.
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …

[HTML][HTML] IoT enabled healthcare environment using intelligent deep learning enabled skin lesion diagnosis model

Y Asiri, HT Halawani, AD Algarni, AA Alanazi - Alexandria Engineering …, 2023 - Elsevier
Melanoma skin cancer is a widely occurring disease over the globe and it is needed to
identify the disease at the initial stages. Recent technologies like Internet of Things (IoT) …