Machine learning for 3D printed multi-materials tissue-mimicking anatomical models

• Main Authors: Goh, Guo Dong, Sing, Swee Leong, Lim, Yuan Fang, Thong, Janessa Jia Li, Peh, Zhen Kai, Mogali, Sreenivasulu Reddy, Yeong, Wai Yee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Science::Medicine; Machine Learning; Anatomical Model
• Online Access: https://hdl.handle.net/10356/161660
• Institution: Nanyang Technological University

Polyjet, a material jetting 3D printing technique, has been widely used for the fabrication of patient-specific anatomical models owing to the toolless fabrication technique and its ability to print multiple materials in a single part. Although the fabrication of anatomical models with high dimensio...