An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
[HTML][HTML] Internet of medical things: A systematic review
Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …
medical field. The IoMT enables a medical system to connect various smart devices, such as …
Secure blockchain enabled Cyber–physical systems in healthcare using deep belief network with ResNet model
Cyber–physical system (CPS) is the incorporation of physical processes with processing
and data transmission. Cybersecurity is a primary and challenging issue in healthcare due …
and data transmission. Cybersecurity is a primary and challenging issue in healthcare due …
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier
COVID-19 infection is growing in a rapid rate. Due to unavailability of specific drugs, early
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
[HTML][HTML] Modified U-net architecture for segmentation of skin lesion
Dermoscopy images can be classified more accurately if skin lesions or nodules are
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
segmented. Because of their fuzzy borders, irregular boundaries, inter-and intra-class …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
Deep learning based an automated skin lesion segmentation and intelligent classification model
Abstract Internet of Medical Things (IoMT) includes interconnected sensors, wearable
devices, medical devices, and clinical systems. At the same time, skin cancer is a commonly …
devices, medical devices, and clinical systems. At the same time, skin cancer is a commonly …
Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model
Feature selection (FS) methods are necessary to develop intelligent analysis tools that
require data preprocessing and enhancing the performance of the machine learning …
require data preprocessing and enhancing the performance of the machine learning …
Feature optimization and identification of ovarian cancer using internet of medical things
Ovarian cancer (OC) is one kind of tumour that impacts women's ovaries and is hard to
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
diagnose in the initial phase as a primary cause of cancer death. The ovarian cancer …
[HTML][HTML] Internet of medical things and trending converged technologies: A comprehensive review on real-time applications
Abstract The Internet of Medical Things (IoMT) facilitates patients with all-time-connected
medical devices through cost-effective solutions and a feeling of comfort with round-the …
medical devices through cost-effective solutions and a feeling of comfort with round-the …