Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT

Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires experience and is subject to substantial interreader variability. Purpose To investigate whether a proposed content-based image retrieval (CBIR) of similar chest CT images by using deep learning can ai...

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Veröffentlicht in:	Radiology Jg. 302; H. 1; S. 187
Hauptverfasser:	Choe, Jooae, Hwang, Hye Jeon, Seo, Joon Beom, Lee, Sang Min, Yun, Jihye, Kim, Min-Ju, Jeong, Jewon, Lee, Youngsoo, Jin, Kiok, Park, Rohee, Kim, Jihoon, Jeon, Howook, Kim, Namkug, Yi, Jaeyoun, Yu, Donghoon, Kim, Byeongsoo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.01.2022
Schlagworte:	Deep Learning Diagnosis, Differential Female Humans Lung - diagnostic imaging Lung Diseases, Interstitial - diagnostic imaging Male Middle Aged Radiographic Image Interpretation, Computer-Assisted - methods Reproducibility of Results Retrospective Studies Tomography, X-Ray Computed - methods
ISSN:	1527-1315, 1527-1315
Online-Zugang:	Weitere Angaben
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