Implementing machine learning in radiology practice and research
M Kohli, LM Prevedello, RW Filice… - American journal of …, 2017 - Am Roentgen Ray Soc
OBJECTIVE. The purposes of this article are to describe concepts that radiologists should
understand to evaluate machine learning projects, including common algorithms …
understand to evaluate machine learning projects, including common algorithms …
Classification of schizophrenia based on individual hierarchical brain networks constructed from structural MRI images
With structural magnetic resonance imaging (MRI) images, conventional methods for the
classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness …
classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness …
[HTML][HTML] A comparative study of feature selection methods for the discriminative analysis of temporal lobe epilepsy
It is crucial to differentiate patients with temporal lobe epilepsy (TLE) from the healthy
population and determine abnormal brain regions in TLE. The cortical features and changes …
population and determine abnormal brain regions in TLE. The cortical features and changes …
Segmentation and analysis of ventricles in schizophrenic mr brain images using optimal region based energy minimization framework
M Latha, G Kavitha - 2017 fourth international conference on …, 2017 - ieeexplore.ieee.org
Schizophrenia (SZ) is a neurological disorder, which affects linguistic, memory,
consciousness and executive functions of the brain. Magnetic resonance imaging (MRI) is …
consciousness and executive functions of the brain. Magnetic resonance imaging (MRI) is …