Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region

The purpose of this study was to investigate the relationship between visual score of emphysema and homology-based emphysema quantification (HEQ) and evaluate whether visual score was accurately predicted by machine learning and HEQ. A total of 115 anonymized computed tomography images from 39 patie...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2017-05, Vol.12 (5), p.e0178217-e0178217
Hauptverfasser:	Nishio, Mizuho, Nakane, Kazuaki, Kubo, Takeshi, Yakami, Masahiro, Emoto, Yutaka, Nishio, Mari, Togashi, Kaori
Format:	Artikel
Sprache:	eng
Schlagworte:	Air flow Alternating current Amino acid sequence Artificial intelligence Attenuation Austenite Automation Bioinformatics Biology and Life Sciences Care and treatment CAT scans Chronic obstructive pulmonary disease Classification Computation Computed tomography Computer and Information Sciences Contingency tables Correlation Correlation coefficient Crack propagation Data processing Deoxyribonuclease Deoxyribonucleic acid Diagnosis DNA Emphysema Fatigue Gases Health risks Heterogeneity High resolution Histology Homology Humans Image processing Inflammation Learning algorithms Lesions Lung - diagnostic imaging Lung cancer Lung diseases Machine learning Medical imaging Medical science Medicine Medicine and Health Sciences Nuclear medicine Nucleic acids Nucleotide sequence Particle size Pathology Physical Sciences Physicochemical properties Pulmonary Disease, Chronic Obstructive - diagnostic imaging Pulmonary Emphysema - diagnostic imaging Quantitative analysis Radiographic Image Interpretation, Computer-Assisted - methods Radiology Reproducibility of Results Research and Analysis Methods Respiratory tract Respiratory tract diseases Ribonucleic acid Risk RNA Segmentation Severity of Illness Index Spatial distribution Spatial resolution Steel Supervised Machine Learning Tomography Tomography, X-Ray Computed Topology University graduates Visual perception
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!