Particle swarm optimization and two-way fixed-effects analysis of variance for efficient brain tumor segmentation
Simple Summary Segmentation of brain tumor images from magnetic resonance imaging
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
(MRI) is a challenging topic in medical image analysis. The brain tumor can take many …
A hybrid approach for multi modal brain tumor segmentation using two phase transfer learning, SSL and a hybrid 3DUNET
Brain tumor, abnormal cell growth within the brain, require precise segmentation to facilitate
effective treatment planning. Accurately identifying tumor boundaries from complex Magnetic …
effective treatment planning. Accurately identifying tumor boundaries from complex Magnetic …
Advanced deep learning approaches for accurate brain tumor classification in medical imaging
A brain tumor can have an impact on the symmetry of a person's face or head, depending on
its location and size. If a brain tumor is located in an area that affects the muscles …
its location and size. If a brain tumor is located in an area that affects the muscles …
Intensity inhomogeneity correction in brain MRI: a systematic review of techniques, current trends and future challenges
Intensity inhomogeneity, a common artefact in brain magnetic resonance imaging, poses
challenges in medical image analysis. Intensity inhomogeneity, also known as bias field …
challenges in medical image analysis. Intensity inhomogeneity, also known as bias field …
Brain tumor detection using 3D-UNet segmentation features and hybrid machine learning model
Machine learning has significantly improved disease diagnosis, enhancing the efficiency
and accuracy of the healthcare system. One critical area where it proves beneficial is …
and accuracy of the healthcare system. One critical area where it proves beneficial is …
WD‐UNeXt: Weight loss function and dropout U‐Net with ConvNeXt for automatic segmentation of few shot brain gliomas
Z Yin, H Gao, J Gong, Y Wang - IET Image Processing, 2023 - Wiley Online Library
Accurate segmentation of brain gliomas (BG) is a crucial and challenging task for effective
treatment planning in BG therapy. This study presents the weight loss function and dropout …
treatment planning in BG therapy. This study presents the weight loss function and dropout …
Poisonous Plants Species Prediction Using a Convolutional Neural Network and Support Vector Machine Hybrid Model
The total number of discovered plant species is increasing yearly worldwide. Plant species
differ from one region to another. Some of these discovered plant species are beneficial …
differ from one region to another. Some of these discovered plant species are beneficial …
An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis
SB Shaheema, NB Muppalaneni - Computers and Electrical Engineering, 2025 - Elsevier
Accurate segmentation and categorization of brain abnormalities are needed for effective
diagnosis and treatment planning. Computer-aided diagnostic techniques have gained …
diagnosis and treatment planning. Computer-aided diagnostic techniques have gained …
Multi-scale cross spectral coherence and phase spectral distribution based measurement in non-subsampled shearlet domain for classification of brain tumors
P Das, A Das - Expert Systems with Applications, 2024 - Elsevier
Computerized assessment of brain tumor identification and discrimination process from
magnetic resonance imaging is of immense concern for improved investigation, growth rate …
magnetic resonance imaging is of immense concern for improved investigation, growth rate …
[HTML][HTML] Augmented Transformer network for MRI brain tumor segmentation
M Zhang, D Liu, Q Sun, Y Han, B Liu, J Zhang… - Journal of King Saud …, 2024 - Elsevier
Abstract The Augmented Transformer U-Net (AugTransU-Net) is proposed to address
limitations in existing transformer-related U-Net models for brain tumor segmentation. While …
limitations in existing transformer-related U-Net models for brain tumor segmentation. While …