Cargando…
Artificial-Intelligence-Based Decision Making for Oral Potentially Malignant Disorder Diagnosis in Internet of Medical Things Environment
Oral cancer is considered one of the most common cancer types in several counties. Earlier-stage identification is essential for better prognosis, treatment, and survival. To enhance precision medicine, Internet of Medical Things (IoMT) and deep learning (DL) models can be developed for automated or...
Autores principales: | Alabdan, Rana, Alruban, Abdulrahman, Hilal, Anwer Mustafa, Motwakel, Abdelwahed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818760/ https://www.ncbi.nlm.nih.gov/pubmed/36611573 http://dx.doi.org/10.3390/healthcare11010113 |
Ejemplares similares
-
Intelligent Epileptic Seizure Detection and Classification Model Using Optimal Deep Canonical Sparse Autoencoder
por: Hilal, Anwer Mustafa, et al.
Publicado: (2022) -
Blockchain, Internet of Things, and artificial intelligence
por: Chilamkurti, Naveen, et al.
Publicado: (2021) -
Artificial intelligence-driven malware detection framework for internet of things environment
por: Alsubai, Shtwai, et al.
Publicado: (2023) -
Fuzzy Cognitive Maps with Bird Swarm Intelligence Optimization-Based Remote Sensing Image Classification
por: Hilal, Anwer Mustafa, et al.
Publicado: (2022) -
Artificial Intelligence-based Machine English-Assisted Translation in the Internet of Things Environment
por: Zhang, Wanfang, et al.
Publicado: (2022)