Pathological brain detection by artificial intelligence in magnetic resonance imaging scanning (invited review)

S Wang, Y Zhang, T Zhan, P Phillips, YD Zhang… - Progress in …, 2016 - jpier.org
(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
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 …

Brain tumor detection in MRI images using adaptive-ANFIS classifier with segmentation of tumor and edema

R Kalam, C Thomas, MA Rahiman - Soft Computing, 2023 - Springer
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 …

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 …

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 …

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 …

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 …

Brain tissue volume estimation to detect Alzheimer's disease in magnetic resonance images

T Priya, P Kalavathi, VBS Prasath, R Sivanesan - Soft Computing, 2021 - Springer
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 …

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 …

[HTML][HTML] Altered diffusivity of the subarachnoid cisterns in the rat brain following neurological disorders

J Tazoe, CF Lu, BY Hsieh, CY Chen, YCJ Kao - biomedical journal, 2023 - Elsevier
Background Although changes in diffusion characteristics of the brain parenchyma in
neurological disorders are widely studied and used in clinical practice, the change in …