A study of machine learning and deep learning models for solving medical imaging problems

FG Farhat - 2019 - digitalcommons.njit.edu
Application of machine learning and deep learning methods on medical imaging aims to
create systems that can help in the diagnosis of disease and the automation of analyzing …

Deep Learning Segmentation Techniques for Checking the Anomalies of White Matter Hyperintensities in Alzheimer's Patients

AE Pious, S Unni - Advances in Computerized Analysis in Clinical …, 2019 - taylorfrancis.com
Alzheimer's disease is an incurable progressive neurological brain disorder. Alzheimer's
disease disrupts the communication among neurons, resulting in loss of function and cell …

[PDF][PDF] White matter hyperintensities and cognition in Parkinson's disease.

S Halliday - 2019 - ir.canterbury.ac.nz
Cognitive decline and dementia are common non-motor impairments associated with
Parkinson's disease (PD). White matter hyperintensities (WMHs) are vascular MRI ndings …

[PDF][PDF] Automatic Irregular Texture Detection in Brain MRI without Human Supervision

T Komura - homepages.inf.ed.ac.uk
We propose a novel approach named one-time sampling irregularity age map (OTS-IAM) to
detect any irregular texture in FLAIR brain MRI without any human supervision or interaction …

[PDF][PDF] Kiwook Kim, Sungwon Kim2, Young Han Lee2, Seung Hyun Lee3, Hye Sun Lee 4 &

S Kim - SCIeNtIFIC RePoRTS, 2018 - core.ac.uk
Results The baseline demographic and clinical characteristics of the patients are listed in
Table 1. The median ages of the patients with tuberculous or pyogenic spondylitis were 59 …