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Convolutional neural network in medical image analysis: a review
SS Kshatri, D Singh - Archives of Computational Methods in Engineering, 2023 - Springer
Medical image analysis helps in resolving clinical issues by examining clinically generated
images. In today's world of deep learning (DL) along with advances in computer vision, the …
images. In today's world of deep learning (DL) along with advances in computer vision, the …
A review on brain structures segmentation in magnetic resonance imaging
Background and objectives Automatic brain structures segmentation in magnetic resonance
images has been widely investigated in recent years with the goal of hel** diagnosis and …
images has been widely investigated in recent years with the goal of hel** diagnosis and …
Unsupervised domain adaptation of MRI skull-strip** trained on adult data to newborns
Skull-strip** is an important first step when analyzing brain Magnetic Resonance Imaging
(MRI) data. Deep learning-based supervised segmentation models, such as the U-net …
(MRI) data. Deep learning-based supervised segmentation models, such as the U-net …
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models
We propose a new general method for segmenting brain tumors in 3D magnetic resonance
images. Our method is applicable to different types of tumors. First, the brain is segmented …
images. Our method is applicable to different types of tumors. First, the brain is segmented …
Comparative evaluation of registration algorithms in different brain databases with varying difficulty: results and insights
Evaluating various algorithms for the inter-subject registration of brain magnetic resonance
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …
images (MRI) is a necessary topic receiving growing attention. Existing studies evaluated …
Fuzzy spatial relation ontology for image interpretation
The semantic interpretation of images can benefit from representations of useful concepts
and the links between them as ontologies. In this paper, we propose an ontology of spatial …
and the links between them as ontologies. In this paper, we propose an ontology of spatial …