Pathological brain detection by artificial intelligence in magnetic resonance imaging scanning (invited review)
(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
neuroradiologists to make decisions for patients. This review offers a comprehensive and …
neuroradiologists to make decisions for patients. This review offers a comprehensive and …
A content recommendation system for effective e-learning using embedded feature selection and fuzzy DT based CNN
L Antony Rosewelt… - Journal of Intelligent & …, 2020 - content.iospress.com
This paper proposes a new content recommendation system which combines the newly
proposed embedded feature selection method and the new Fuzzy Temporal Logic based …
proposed embedded feature selection method and the new Fuzzy Temporal Logic based …
Brain tumor detection in MRI images using adaptive-ANFIS classifier with segmentation of tumor and edema
The brain is a significant organ that controls all activities of the body parts. A Brain Tumor
(BT) is a group of tissues, which are structured by the gradual accumulation of irregular cells …
(BT) is a group of tissues, which are structured by the gradual accumulation of irregular cells …
Optimal virtual machine selection for anomaly detection using a swarm intelligence approach
A Selvaraj, R Patan, AH Gandomi, GG Deverajan… - Applied soft …, 2019 - Elsevier
Cloud computing plays a significant role in Healthcare Service (HCS) applications and
rapidly improves it. A significant challenge is the selection of Virtual Machine (VM) in order to …
rapidly improves it. A significant challenge is the selection of Virtual Machine (VM) in order to …
Semantic analysis-based relevant data retrieval model using feature selection, summarization and CNN
A Rosewelt, A Renjit - Soft Computing, 2020 - Springer
Semantic analysis is playing a major role and task in text mining process caused by the
presence of huge number of relevant and irrelevant data in Internet and other resources …
presence of huge number of relevant and irrelevant data in Internet and other resources …
Estimating the volume of penumbra in rodents using DTI and stack-based ensemble machine learning framework
DP Kuo, YC Chen, YT Li, SJ Cheng, KLC Hsieh… - European Radiology …, 2024 - Springer
Background This study investigates the potential of diffusion tensor imaging (DTI) in
identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion …
identifying penumbral volume (PV) compared to the standard gadolinium-required perfusion …
An intelligent subtype fuzzy cluster based relevant user data retrieval model for effective classification
A Renjit - 2019 fifth international conference on science …, 2019 - ieeexplore.ieee.org
Information retrieval is the process of collecting the data or information from the large volume
of data that are available in a local repository or internet according to the user query. Many …
of data that are available in a local repository or internet according to the user query. Many …
Brain tissue volume estimation to detect Alzheimer's disease in magnetic resonance images
Volume estimation of brain tissues such as the White Matter, Gray Matter and Cerebrospinal
Fluid is an important task in brain image analysis and also used to diagnose neurological …
Fluid is an important task in brain image analysis and also used to diagnose neurological …
Analysis and evaluation of classification and segmentation of brain tumour images
MP Thiruvenkatasuresh… - International Journal of …, 2019 - inderscienceonline.com
Apparently, the development of a model to detect the tumour part in brain images is of
utmost significance. In the initial phase of our work, brain tumour database images have …
utmost significance. In the initial phase of our work, brain tumour database images have …
[HTML][HTML] Altered diffusivity of the subarachnoid cisterns in the rat brain following neurological disorders
Background Although changes in diffusion characteristics of the brain parenchyma in
neurological disorders are widely studied and used in clinical practice, the change in …
neurological disorders are widely studied and used in clinical practice, the change in …