Cardiac Cavity Tracking: CACCT: An Automated Tool of Detecting Complicated Cardiac Malformations in Mouse Models (Adv. Sci. 8/2020)

In article number https://doi.org/10.1002/advs.201903592, Yu Nie, Shengshou Hu, and co‐workers establish an automated tool based on micro‐computed tomography (CT) images known as CACCT to identify complicated cardiac malformations in mice. With CACCT, researchers, even those without expert training...

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Detalles Bibliográficos
Autores principales: Chu, Qing, Jiang, Haobin, Zhang, Libo, Zhu, Dekun, Yin, Qianqian, Zhang, Hao, Zhou, Bin, Zhou, Wenzhang, Yue, Zhang, Lian, Hong, Liu, Lihui, Nie, Yu, Hu, Shengshou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Inside Front Cover
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175231/
http://dx.doi.org/10.1002/advs.202070042
Descripción
Sumario:In article number https://doi.org/10.1002/advs.201903592, Yu Nie, Shengshou Hu, and co‐workers establish an automated tool based on micro‐computed tomography (CT) images known as CACCT to identify complicated cardiac malformations in mice. With CACCT, researchers, even those without expert training or diagnostic experience of congenital heart diseases, can identify murine complicated cardiac malformations effectively, including transposition of the great arteries, double‐outlet right ventricle and atypical ventricular septal defect, whose accuracy is equivalent to senior fetal cardiologists. [Image: see text]

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