A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging

The proposed dual-task deep learning framework demonstrates a significant advancement in automated coronary lesion assessment by enabling accurate and efficient simultaneous detection and classification, thus supporting enhanced clinical decision-making.

Authors

Haiyan Tian (ORCID: https://orcid.org/0000-0002-1771-1621)
Hu Tian (ORCID: https://orcid.org/0000-0002-8015-9083)
Ning Liu
Sha Ren Gao Wa
Xiao Xiao

Institutions

Inner Mongolia University (CN)
Inner Mongolia People's Hospital (CN)
Fourth Hospital of Inner Mongolia (CN)
Inner Mongolia Medical University (CN)

Publication Details

Journal: European journal of medical research
Published: 2026-01-30
DOI: https://doi.org/10.1186/s40001-025-03818-3
Primary Topic: Coronary Interventions and Diagnostics
Type: article
Field-Weighted Citation Impact: 0.00

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article

A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging

Haiyan Tian, Hu Tian, Ning Liu, Sha Ren Gao Wa et al.

Jan 30, 2026

European journal of medical research

Coronary Interventions and Diagnostics

article

A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging

Haiyan Tian, Hu Tian, Ning Liu, Sha Ren Gao Wa, Xiao Xiao

January 30, 2026article en

Abstract

The proposed dual-task deep learning framework demonstrates a significant advancement in automated coronary lesion assessment by enabling accurate and efficient simultaneous detection and classification, thus supporting enhanced clinical decision-making.

European journal of medical researchVol. 31(1)

Inner Mongolia University (CN), Inner Mongolia People's Hospital (CN), Fourth Hospital of Inner Mongolia (CN), Inner Mongolia Medical University (CN)

Openalex Percentile: Top 73%

Coronary Interventions and Diagnostics

DOI Open Access PDF OpenAlex

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A dual-task deep learning framework for automated detection and classification of coronary artery lesions in invasive coronary angiography imaging — Haiyan Tian, Hu Tian, et al. · European journal of medical research (2026) | TGRS Research Map | TGRS