Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1182-8
Abstract: In computational and clinical environments, autoclassification of brain magnetic resonance image (MRI) slices as normal and abnormal is challenging. The purpose of this study is to investigate the computer vision and machine learning methods for… read more here.
Keywords: brain mri; using gabor; mri slices; normal abnormal ... See more keywords
Convolutional Neural Networks to Detect Vestibular Schwannomas on Single MRI Slices: A Feasibility Study
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14092069
Abstract: Simple Summary Due to the fact that they take inter-slice information into account, 3D- and 2.5D-convolutional neural networks (CNNs) potentially perform better in tumor detection tasks than 2D-CNNs. However, this potential benefit is at the… read more here.
Keywords: detect vestibular; validation; mri slices; mri ... See more keywords