A Novel Approach to Coronary Vessel Segmentation in X-Ray Angiographic Images Using Multi-Level Neural Networks

Mehrshad Lalinia, Farshad Almasganj, Seyyed Ali Seyyedsalehi, Ali Sahafi

Publikation: Konferencebidrag uden forlag/tidsskrift › Paper › Forskning › peer review

Originalsprog	Engelsk
Publikationsdato	2024
Status	Udgivet - 2024
Begivenhed	Iranian Conference on Biomedical Engineering 2024 - Amirkabir University of Technology, Tehran, Iran Varighed: 28. nov. 2024 → 29. nov. 2024

Konference	Iranian Conference on Biomedical Engineering 2024
Lokation	Amirkabir University of Technology
Land/Område	Iran
By	Tehran
Periode	28/11/2024 → 29/11/2024

SDU link

@conference{465cceefde794adb8df8781f9ce97e75,

title = "A Novel Approach to Coronary Vessel Segmentation in X-Ray Angiographic Images Using Multi-Level Neural Networks",

author = "Mehrshad Lalinia and Farshad Almasganj and Seyyedsalehi, \{Seyyed Ali\} and Ali Sahafi",

year = "2024",

language = "English",

note = "Iranian Conference on Biomedical Engineering 2024, ICBME ; Conference date: 28-11-2024 Through 29-11-2024",

}

A Novel Approach to Coronary Vessel Segmentation in X-Ray Angiographic Images Using Multi-Level Neural Networks. / Lalinia, Mehrshad; Almasganj, Farshad; Seyyedsalehi, Seyyed Ali et al.
2024. Paper præsenteret på Iranian Conference on Biomedical Engineering 2024, Tehran, Iran.

Publikation: Konferencebidrag uden forlag/tidsskrift › Paper › Forskning › peer review