DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM /

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Detalles Bibliográficos
Autor Principal:	Kabir, Mohammed shihab
Autor Corporativo:	Supervised by Dr. Muhammad Tarik Arafat (Assoc. Professor, Dept. of BME, MIST.)
Outros autores:	Sadid, Sadman Rahman
Formato:	Libro
Idioma:	inglés
Publicado:	Dhaka : BME DEPT. MIST, c2022.
Subjects:	Biomedical Engineering This Thesis Paper of BME in B.Sc. Program.
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040		\|a BD-DhMIS \|c BD-DhMIS
100		\|a Kabir, Mohammed shihab
245		\|a DEEP LEARNING BASED CORONARY ARTERY SEGMENTATION AND PREDICTION OF HEMODYNAMIC PARAMETERS FROM CARDIAC CT ANGIOGRAM / \|c Mohammed shihab Kabir, Sadman Rahman Sadid
260		\|a Dhaka : \|b BME DEPT. MIST, \|c c2022.
300		\|a X, 54p. : \|b illus. ; \|c 29 cm.
504		\|a Includes bibliographical references.
541		\|e TP-1920
650		\|a Biomedical Engineering
650		\|a This Thesis Paper of BME in B.Sc. Program.
700		\|a Sadid, Sadman Rahman
710		\|a Supervised by Dr. Muhammad Tarik Arafat \|e Assoc. Professor, Dept. of BME, MIST.
942		\|2 ddc \|c TP
999		\|c 11249 \|d 11249