A new coronary artery stenosis detection method with a Hybrid LSTM-CNN model

Lessage, Xavier; Michal, Nedoszytko; Mahmoudi, Saïd; Lilian, Marey; Debauche, Olivier; Mahmoudi, Sidi

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A new coronary artery stenosis detection method with a Hybrid LSTM-CNN model

Lessage, Xavier; Michal, Nedoszytko; Mahmoudi, Saïd et al.

2022 • In Lecture Notes in Networks and Systems

Peer reviewed

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https://hdl.handle.net/20.500.12907/44888

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Keywords :

coronary arteries; stenosis detection; classification; convolutional neural networks; recurrent neural network; Hybrid CNN-LSTM Architecture; explainable artificial intelligence

Abstract :

[en] Screening for coronary artery disease is a major health issue, knowing that the most common cause of death in industrialized countries is cardiovascular pathology (coronary artery disease, stroke, other cardiovascular diseases). Computer Aided Diagnosis systems (CADx) can assist cardiologists to and play a key role in detecting abnormalities and treating coronary arteries. In this paper we propose a deep learning classification method based on a new Hybrid CNN-LSTM Architecture. The aim of our method is to detect the presence of stenosis in the coronary arteries and to classify the type of arteries. Our experiments have been conducted using an anonymized database from a Belgian hospital (CHR Mons-Hainaut) thanks to a retrospective study.

Disciplines :

Computer science

Author, co-author :

Lessage, Xavier

Michal, Nedoszytko

Mahmoudi, Saïd ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Lilian, Marey

Debauche, Olivier ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Mahmoudi, Sidi ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Language :

English

Title :

A new coronary artery stenosis detection method with a Hybrid LSTM-CNN model

Publication date :

24 November 2022

Event name :

ICAISE 2022 : The 4th International Conference on Artificial Intelligence and Smart Environment

Event place :

Errachidia, Morocco

Event date :

24-26 novembre 2022

Audience :

International

Journal title :

Lecture Notes in Networks and Systems

ISSN :

2367-3370

eISSN :

2367-3389

Peer reviewed :

Peer reviewed

Research unit :

F114 - Informatique, Logiciel et Intelligence artificielle

Research institute :

R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques

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Bibliography

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