Bias field poses a threat to DNN-based X-ray recognition

• Main Authors: TIAN, Bingyu, GUO, Qing, JUEFEI-XU, Felix, CHAN, Wen Le, CHENG, Yupeng, LI, Xiaohong, XIE, Xiaofei, QIN, Shengchao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Medical image analysis; bias field; X-ray recognition; adversarial attack; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7075; https://ink.library.smu.edu.sg/context/sis_research/article/8078/viewcontent/09428437.pdf
• Institution: Singapore Management University

Chest X-ray plays a key role in screening and diagnosis of many lung diseases including the COVID-19. Many works construct deep neural networks (DNNs) for chest X-ray images to realize automated and efficient diagnosis of lung diseases. However, bias field caused by the improper medical image acquis...