Diagnostic and Gradation Model of Osteoporosis Based on Improved Deep U-Net Network

The measurement of bone mineral density for osteoporosis has always been the focus of researchers because it plays an important role in bone disease diagnosis. However, because of X-ray image noise and the large difference between the bone shapes of patients under the condition of low contrast, exis...

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Veröffentlicht in:	Journal of medical systems Jg. 44; H. 1; S. 15 - 7
Hauptverfasser:	Liu, Jian, Wang, Jian, Ruan, Weiwei, Lin, Chengshan, Chen, Daguo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2020 Springer Nature B.V
Schlagworte:	Algorithms Biomedical materials Bone density Bone diseases Bone mineral density Deep learning Density measurement Diagnosis Diagnostic systems Distributed Analytics and Deep Learning in Health Care Entropy (Information theory) Feature maps Health Informatics Health Sciences Image segmentation Medical diagnosis Medical imaging Medicine Medicine & Public Health Normalizing Object recognition Osteoporosis Patient Facing Systems Statistics for Life Sciences Deep learning Osteoporosis X-ray image Bone mineral density Medical diagnosis U-net model
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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