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

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

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...

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Bibliographic Details
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
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Engineering::Mechanical engineering
Neoadjuvant Chemotherapy
Breast Cancer
Online Access:https://hdl.handle.net/10356/163001

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