A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection
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 …
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians
SL Fernandes, UJ Tanik, V Rajinikanth… - Neural Computing and …, 2020 - Springer
The human brain is considered to be the anatomical seat of intelligence, comprehensively
supervising conscious and autonomous functions responsible for monitoring and control …
supervising conscious and autonomous functions responsible for monitoring and control …
Segmentation of ischemic stroke lesion in brain MRI based on social group optimization and Fuzzy-Tsallis entropy
V Rajinikanth, SC Satapathy - Arabian Journal for Science and …, 2018 - Springer
Stroke is one of the widespread causes of morbidity worldwide and is also the foremost
reason for attained disability in human community. Ischemic stroke can be confirmed by …
reason for attained disability in human community. Ischemic stroke can be confirmed by …
Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality
Brain tumor is one of the harsh diseases among human community and is usually
diagnosed with medical imaging procedures. Computed-Tomography (CT) and Magnetic …
diagnosed with medical imaging procedures. Computed-Tomography (CT) and Magnetic …
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review
Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is
assessed by analyzing signal data such as electroencephalography (EEG), which can offer …
assessed by analyzing signal data such as electroencephalography (EEG), which can offer …
Cellphone remote intelligent neuroregulation with self-powered piezoelectric wireless brain probe
H Guan, Y Tang, Z Long, R Lin, S Liang, F Zhu… - Nano Energy, 2023 - Elsevier
The neural regulation that is tele-controlled remotely by medical professionals or artificial
intelligence (AI) agents can meet the requirement of rapid, precise, personalized …
intelligence (AI) agents can meet the requirement of rapid, precise, personalized …
Image fusion practice to improve the ischemic-stroke-lesion detection for efficient clinical decision making
In humans, the abnormality in brain arises due to various reasons and the ischemic-stroke
(IS) is one of the major brain syndromes to be diagnosed and treated with appropriate …
(IS) is one of the major brain syndromes to be diagnosed and treated with appropriate …
An efficient hybrid fuzzy-clustering driven 3D-modeling of magnetic resonance imagery for enhanced brain tumor diagnosis
Brain tumor detection and its analysis are essential in medical diagnosis. The proposed
work focuses on segmenting abnormality of axial brain MR DICOM slices, as this format …
work focuses on segmenting abnormality of axial brain MR DICOM slices, as this format …
Multilevel feature learning method for accurate interictal epileptiform spike detection
C Cheng, Y Liu, B You, Y Zhou, F Gao… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Interictal epileptiform spike (referred to as spike) detected from electroencephalograms
lasting only 20-to 200-ms can provide a reliable evidence-based indicator for clinical seizure …
lasting only 20-to 200-ms can provide a reliable evidence-based indicator for clinical seizure …
Evaluation of ischemic stroke region from CT/MR images using hybrid image processing techniques
An ischemic stroke (IS) naturally originates with rapid onset neurological shortfall, which can
be verified by analyzing the internal regions of brain. Computed tomography (CT) and …
be verified by analyzing the internal regions of brain. Computed tomography (CT) and …