Knowledge-Based Identification of Artery Branches in Cine-Angiograms
Proceedings of the Seventh International Joint Conference on Artificial Intelligence. Vision: Motion. Pages 710-714.
Abstract
This paper describes an laage understanding syste• which Interprets line seg•ents detected In clne-anglograas, clne-fll• records of radiographic laages of coronary arteries, Into a aodel of the arterial systea based on expert knowledge on the artery. A production syste• accesses rules on shapes and structures of the blood vessels to evaluate the geoaetrlcal para•eters or sequences of seg•ents, and a tree or hypotheses on the Identities of the Individual segaents In each view Is generated. Finally, the hypotheses obtained fro• different views are Integrated to find a aore reliable Interpretation of the laages.
@inproceedings{ijcai1981p135,
title = {Knowledge-Based Identification of Artery Branches in Cine-Angiograms},
author = {Tsuji, Saburo and Nakano, Hidetoshi},
booktitle = {Proceedings of the Seventh International Joint Conference on
Artificial Intelligence, {IJCAI-81}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Roger C. Schank},
pages = {710--714},
year = {1981},
month = {8},
note = {Vision: Motion},
url = {https://ijcai.org/proceedings/1981/135},
}
TY - CPAPER TI - Knowledge-Based Identification of Artery Branches in Cine-Angiograms AU - Tsuji, Saburo AU - Nakano, Hidetoshi T2 - Proceedings of the Seventh International Joint Conference on Artificial Intelligence, IJCAI-81 PB - International Joint Conferences on Artificial Intelligence PY - 1981 SP - 710 EP - 714 UR - https://ijcai.org/proceedings/1981/135 ER -Copied
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