Pattern descriptors orientation and map firefly algorithm based brain pathology classification using hybridized machine learning algorithm
Magnetic Resonance Imaging (MRI) is a significant technique used to diagnose brain
abnormalities at early stages. This paper proposes a novel method to classify brain …
abnormalities at early stages. This paper proposes a novel method to classify brain …
Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation framework
EP Onakpojeruo, MT Mustapha… - Brain …, 2024 - academic.oup.com
The scarcity of medical imaging datasets and privacy concerns pose significant challenges
in artificial intelligence-based disease prediction. This poses major concerns to patient …
in artificial intelligence-based disease prediction. This poses major concerns to patient …
Low-dose CT noise reduction based on local total variation and improved wavelet residual CNN
Y Liu, J Kang, Z Li, Q Zhang… - Journal of X-Ray Science …, 2022 - content.iospress.com
BACKGROUND: Low-dose computed tomography (LDCT) is an effective method for
reducing radiation exposure. However, reducing radiation dose leads to considerable noise …
reducing radiation exposure. However, reducing radiation dose leads to considerable noise …
Enhanced Computerized Brain tumor Detection with the Features Extracted from SIFT
NR Piratla, P Jakkula, ZO Arfa - 2020 4th International …, 2020 - ieeexplore.ieee.org
MRI machines turned out to be economically internal body structures, particularly soft tissues
such as the brain. To have a system that automatically identifies the tumors in a brain with …
such as the brain. To have a system that automatically identifies the tumors in a brain with …
Neural network and wavelet-based study on classification and analysis of brain tumor using MR images
R Mehrotra, MA Ansari… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Tumors in Brain are intimidating ailments. Conventional analysis of Brain Tumor (BT) are
time taking and sometimes give inaccurate results. In the current scenario, BT investigations …
time taking and sometimes give inaccurate results. In the current scenario, BT investigations …
[PDF][PDF] Computer Aided Diagnosis of Magnatic Resonance Brain Tumors Images with Automatic Segmentation
DUS Alqasemi, AY Saleh - Int. J. Eng. Res, 2020 - academia.edu
Brain tumor is one of the most dangerous and detrimental diseases around the world. One of
powerful modalities to detect brain tumor is the Magnetic Resonance Imaging (MRI) …
powerful modalities to detect brain tumor is the Magnetic Resonance Imaging (MRI) …
Multi-Classification of brain tumor based on deep CNN
In the last decades, brain tumors are considered one of the mortal cancers in the world. The
right tumors detection and identification in the early phases have a significant role to select …
right tumors detection and identification in the early phases have a significant role to select …
Human Identification Model Considering Biometrics Features
MAH Radhi - Journal La Multiapp, 2022 - newinera.com
In the medical field, brain classification is an effective technique for identifying a person
through his brain print based on the hidden biometrics of high specificity included in the …
through his brain print based on the hidden biometrics of high specificity included in the …