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 …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Fuzzy system based medical image processing for brain disease prediction
M Hu, Y Zhong, S Xie, H Lv, Z Lv - Frontiers in Neuroscience, 2021 - frontiersin.org
The present work aims to explore the performance of fuzzy system-based medical image
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …
A fuzzy convolutional neural network for enhancing multi-focus image fusion
The images captured by the cameras contain distortions, misclassified pixels, uncertainties
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …
A quantum-clustering optimization method for COVID-19 CT scan image segmentation
P Singh, SS Bose - Expert systems with applications, 2021 - Elsevier
Abstract The World Health Organization (WHO) has declared Coronavirus Disease 2019
(COVID-19) as one of the highly contagious diseases and considered this epidemic as a …
(COVID-19) as one of the highly contagious diseases and considered this epidemic as a …
Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19
P Singh, SS Bose - Knowledge-Based Systems, 2021 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) has been considered one of the most
critical diseases of the 21st century. Only early detection can aid in the prevention of …
critical diseases of the 21st century. Only early detection can aid in the prevention of …
Herramientas computacionales para el apoyo al diagnóstico de pacientes con Parkinson: una revisión sistemática
ER González, OM Cornelio, ALG García… - Revista Cubana de …, 2023 - rcci.uci.cu
Las técnicas de inteligencia artificial así como los métodos de aprendizaje automático, se
utilizan para automatizar el proceso de reconocimiento preciso de patrones. Dada la …
utilizan para automatizar el proceso de reconocimiento preciso de patrones. Dada la …
A type-2 neutrosophic-entropy-fusion based multiple thresholding method for the brain tumor tissue structures segmentation
P Singh - Applied Soft Computing, 2021 - Elsevier
In this paper, we introduce an extension theory of the neutrosophic set (NS) called type-2
neutrosophic set (T2NS). This new theory provides a granular representation of features and …
neutrosophic set (T2NS). This new theory provides a granular representation of features and …
A landscape of recent advances in lipid nanoparticles and their translational potential for the treatment of solid tumors
RA Paun, S Jurchuk, M Tabrizian - … & Translational Medicine, 2024 - Wiley Online Library
Lipid nanoparticles (LNPs) are biocompatible drug delivery systems that have found
numerous applications in medicine. Their versatile nature enables the encapsulation and …
numerous applications in medicine. Their versatile nature enables the encapsulation and …
Monitoring and assessment of rehabilitation progress on range of motion after total knee replacement by sensor-based system
For total knee replacement (TKR) patients, rehabilitation after the surgery is key to regaining
mobility. This study proposes a sensor-based system for effectively monitoring rehabilitation …
mobility. This study proposes a sensor-based system for effectively monitoring rehabilitation …