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A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians
SL Fernandes, UJ Tanik, V Ra**ikanth… - 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 …
Automated detection of brain abnormality using deep-learning-scheme: a study
Brain is the vital organ in human physiology; which is conscientious for sensory signal
handling and judgment making. The irregularity in brain severely influence entire decision …
handling and judgment making. The irregularity in brain severely influence entire decision …
U-net supported segmentation of ischemic-stroke-lesion from brain MRI slices
The brain abnormality is one of the major sicknesses in human's health and the untreated
brain defect will cause major illness. Ischemic stroke is one of the major medical …
brain defect will cause major illness. Ischemic stroke is one of the major medical …
Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur's thresholding: A study
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 …
illness will lead to a lot of complications despite of gender and age. Brain tumor is one of the …
Firefly algorithm-based Kapur's thresholding and Hough transform to extract leukocyte section from hematological images
Computerized disease examination techniques are widely adopted in the literature to
evaluate a considerable number of medical images ranging from the RGB scale to gray …
evaluate a considerable number of medical images ranging from the RGB scale to gray …
Development of magnetic resonance image de-noising methodologies: a comprehensive overview of the state-of-the-art
Denoising of various radiological images is crucial, as a minute loss of a detail result in
colossal failure. While numerous frequency domain and spatial denoising approaches are …
colossal failure. While numerous frequency domain and spatial denoising approaches are …
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 …
Examination of retinal anatomical structures—A study with spider monkey optimization algorithm
In ophthalmology, substantial advancement can be found in assessment and evaluation of
the abnormality in retinal anatomical structures, such as optic nerve, disc, and vasculature …
the abnormality in retinal anatomical structures, such as optic nerve, disc, and vasculature …
Design of fractional-order PI/PID controller for SISO system using social-group-optimization
JG Leena, K Sundaravadivu, R Monisha… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
In recent years, fractional order PI/PIDs are broadly considered due to its improved
performance and stability. Traditional approaches available to design and implement the …
performance and stability. Traditional approaches available to design and implement the …
Inspection of crop-weed image database using kapur's entropy and spider monkey optimization
Image assessment measures are commonly employed in different domains to extract the
helpful information to take essential decisions. This paper implements a soft-computing …
helpful information to take essential decisions. This paper implements a soft-computing …