Entropy based segmentation of tumor from brain MR images–a study with teaching learning based optimization

V Rajinikanth, SC Satapathy, SL Fernandes… - Pattern Recognition …, 2017 - Elsevier
Image processing plays an important role in various medical applications to support the
computerized disease examination. Brain tumor, such as glioma is one of the life threatening …

[HTML][HTML] A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection

V Rajinikanth, AN Joseph Raj, KP Thanaraj, GR Naik - Applied Sciences, 2020 - mdpi.com
Brain tumor (BT) is one of the brain abnormalities which arises due to various reasons. The
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …

Contrast enhanced medical MRI evaluation using Tsallis entropy and region growing segmentation

NSM Raja, SL Fernandes, N Dey, SC Satapathy… - Journal of Ambient …, 2024 - Springer
In medical domain, diseases in critical internal organs are generally inspected using
invasive/non-invasive imaging techniques. Magnetic resonance imaging (MRI) is one of the …

Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation

KG Dhal, A Das, S Ray, J Gálvez, S Das - Archives of Computational …, 2020 - Springer
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …

Multiple events detection using context-intelligence features

YY Ghadi, I Akhter, SA Alsuhibany… - Intelligent …, 2022 - repository.hanyang.ac.kr
Event detection systems are mainly used to observe and monitor human behavior via red
green blue (RGB) images and videos. Event detection using RGB images is one of the …

Firefly algorithm assisted segmentation of tumor from brain MRI using Tsallis function and Markov random field

V Rajinikanth, NSM Raja, K Kamalanand - Journal of Control …, 2017 - ceai.srait.ro
Image segmentation plays a vital role in various medical applications for automated disease
examination. In this paper, heuristic algorithm assisted approach is proposed to extract the …

Segmentation and analysis of brain tumor using Tsallis entropy and regularised level set

V Rajinikanth, SL Fernandes, B Bhushan… - Proceedings of 2nd …, 2018 - Springer
Image processing is extensively considered in medical field for computer-supported disease
assessment. Brain tumor is one of the deadliest cancers for the human community and …

Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur's thresholding: A study

S Kadry, V Rajinikanth, NSM Raja… - Evolutionary …, 2021 - Springer
Brain abnormality is a severe illness in humans. An unrecognised and untreated brain
illness will lead to a lot of complications despite of gender and age. Brain tumor is one of the …

DWT-PCA image fusion technique to improve segmentation accuracy in brain tumor analysis

V Rajinikanth, SC Satapathy, N Dey… - … : Proceedings of ICMEET …, 2018 - Springer
Because of its high clinical significance and varied modalities; magnetic resonance (MR)
imaging procedures are widely adopted in medical discipline to record the abnormalities …

Jaya algorithm guided procedure to segment tumor from brain MRI

SC Satapathy, V Rajinikanth - Journal of Optimization, 2018 - Wiley Online Library
Brain abnormality is a cause for the chief risk factors in human society with larger morbidity
rate. Identification of tumor in its early stage is essential to provide necessary treatment …