Internet of Things-Assisted Smart Skin Cancer Detection Using Metaheuristics with Deep Learning Model
Internet of Things (IoT)-assisted skin cancer recognition integrates several connected devices and sensors for supporting the primary analysis and monitoring of skin conditions. A preliminary analysis of skin cancer images is extremely difficult because of factors such as distinct sizes and shapes o...
Main Authors: | Marwa Obayya, Munya A. Arasi, Nabil Sharaf Almalki, Saud S. Alotaibi, Mutasim Al Sadig, Ahmed Sayed |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/15/20/5016 |
Similar Items
-
Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer
by: Marwa Obayya, et al.
Published: (2023-04-01) -
Characterization of the dermoscopic features of common psoriatic lesions
by: Jun-jie LI, et al.
Published: (2019-02-01) -
Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms
by: Seetharani Murugaiyan Jaisakthi, et al.
Published: (2018-12-01) -
Riehl’s Melanosis: A Multimodality, In Vivo, Real-Time Skin Imaging Study with Cellular Resolution Optical Coherence Tomography and Advanced Skin Diagnosis System in a Tertiary Medical Center
by: Peng-Chieh Shen, et al.
Published: (2022-08-01) -
Ensemble optimization algorithm for the prediction of melanoma skin cancer
by: Sachin Gupta, et al.
Published: (2023-10-01)