Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer

• Main Authors: Tan, Hong Qi, Ong, Hiok Hian, Kumaran, Arjunan Muthu, Tan, Tira J., Tan, Ryan Ying Cong, Lee, Ghislaine Su-Xin, Lim, Elaine Hsuen, Ng, Raymond, Yeo, Richard Ming Chert, Lim, Faye Lynette Tching Wei, Zhang, Zewen, Yang, Christina Shi Hui, Wong, Ru Xin, Ooi, Gideon Su Kai, Chee, Lester Hao Leong, Tan, Su Ming, Preetha, Madhukumar, Sim, Yirong, Tan, Veronique Kiak Mien, Yeong, Joe, Wong, Fuh Yong, Cai, Yiyu, Nei, Wen Long, JBCR, Ai3
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Computer science and engineering; Engineering::Mechanical engineering; Neoadjuvant Chemotherapy; Breast Cancer
• 在線閱讀: https://hdl.handle.net/10356/163001
• 機構: Nanyang Technological University

Background: Neoadjuvant chemotherapy (NAC) plays an important role in the management of locally advanced breast cancer. It allows for downstaging of tumors, potentially allowing for breast conservation. NAC also allows for in-vivo testing of the tumors’ response to chemotherapy and provides importan...