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

• Published in: Radiology Vol. 302; no. 1; pp. 187 - 197
• Main Authors: 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
• Language: English
• Published: United States 01.01.2022
• Subjects: 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

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...