Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis.

Deep learning-based classification of adequate sonographic images for self-diagnosing deep vein thrombosis.

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<h4>Background</h4>Pulmonary thromboembolism is a serious disease that often occurs in disaster victims evacuated to shelters. Deep vein thrombosis is the most common reason for pulmonary thromboembolism, and early prevention is important. Medical technicians often perform ultrasonograph...

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Bibliographic Details
Main Authors: Yusuke Nakayama, Mitsuru Sato, Masashi Okamoto, Yohan Kondo, Manami Tamura, Yasuko Minagawa, Mieko Uchiyama, Yosuke Horii
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0282747

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https://doi.org/10.1371/journal.pone.0282747

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