Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning

DL models substantially outperformed traditional ML in classifying VTE reports, with high accuracy, acceptable inference time, and robustness to class imbalance. These models hold promise for augmenting clinical workflows, particularly in addressing under-coded but clinically significant VTE cases.

Authors

Youngje Woo (ORCID: https://orcid.org/0000-0001-5691-1813)
Hong Joo Lee (ORCID: https://orcid.org/0000-0002-3499-0466)
Eunseon Jeong (ORCID: https://orcid.org/0000-0003-4047-2347)
Jang Yong Kim (ORCID: https://orcid.org/0000-0001-8437-9254)

Institutions

The Catholic University of Korea Seoul St. Mary's Hospital (KR)
Catholic University of Korea (KR)

Publication Details

Journal: PLoS ONE
Published: 2025-11-10
DOI: https://doi.org/10.1371/journal.pone.0335262
Primary Topic: Venous Thromboembolism Diagnosis and Management
Type: article
Field-Weighted Citation Impact: 0.00

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article

Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning

Youngje Woo, Hong Joo Lee, Eunseon Jeong, Jang Yong Kim

Nov 10, 2025

PLoS ONE

Venous Thromboembolism Diagnosis and Management

article

Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning

Youngje Woo, Hong Joo Lee, Eunseon Jeong, Jang Yong Kim

November 10, 2025article en

Abstract

DL models substantially outperformed traditional ML in classifying VTE reports, with high accuracy, acceptable inference time, and robustness to class imbalance. These models hold promise for augmenting clinical workflows, particularly in addressing under-coded but clinically significant VTE cases.

PLoS ONEVol. 20(11)

The Catholic University of Korea Seoul St. Mary's Hospital (KR), Catholic University of Korea (KR)

Openalex Percentile: Top 46%

Venous Thromboembolism Diagnosis and Management

DOI Open Access PDF OpenAlex

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