Brain tumor segmentation and classification via adaptive CLFAHE with hybrid classification
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22420
Abstract: This article exploits a new brain tumor classification model that includes five steps like (a) denoising, (b) skull stripping, (c) segmentation, (d) feature extraction and (e) classification. Initially, the image is subjected under the denoising… read more here.
Keywords: classification; segmentation; brain tumor; adaptive clfahe ... See more keywords
Multiple feature set with feature selection for anomaly search in videos using hybrid classification
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6348-z
Abstract: An examination of abnormal activities in video scenes is a very difficult task in computer vision community. An efficient anomaly detection technique to detect anomalies in crowded scenes is presented in this paper. It uses… read more here.
Keywords: feature selection; feature; multiple feature; feature set ... See more keywords
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3135425
Abstract: Objective: Diagnosis of the severity of heroin addiction with electroencephalography (EEG) signals is a challenging problem. It has been shown that brain microstates are associated with brain status and healthy condition. However, there is no… read more here.
Keywords: addicted individuals; classification; heroin; hybrid classification ... See more keywords