Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules.

Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodules.

A general-purpose method of emphasizing abnormal lesions in chest radiographs, named EGGPALE (Extrapolative, Generative and General-Purpose Abnormal Lesion Emphasizer), is presented. The proposed EGGPALE method is composed of a flow-based generative model and L-infinity-distance-based extrapolation...

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Main Authors: Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Issei Sato, Soichiro Miki, Takeharu Yoshikawa, Hisaichi Shibata, Takahiro Nakao, Tomomi Takenaga, Hiroaki Koyama, Shinichi Cho, Noriko Kanemaru, Kotaro Fujimoto, Naoya Sakamoto, Tomoya Nishiyama, Hirotaka Matsuzaki, Nobutake Yamamichi, Osamu Abe
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0315646
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https://doi.org/10.1371/journal.pone.0315646

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