Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction

• Published in: Physics in medicine & biology Vol. 69; no. 7; pp. 75015 - 75025
• Main Authors: He, Bingxi, Sun, Caixia, Li, Hailin, Wang, Yongbo, She, Yunlang, Zhao, Mengmeng, Fang, Mengjie, Zhu, Yongbei, Wang, Kun, Liu, Zhenyu, Wei, Ziqi, Mu, Wei, Wang, Shuo, Tang, Zhenchao, Wei, Jingwei, Shao, Lizhi, Tong, Lixia, Huang, Feng, Tang, Mingze, Guo, Yu, Zhang, Huimao, Dong, Di, Chen, Chang, Ma, Jianhua, Tian, Jie
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 07.04.2024
• Subjects: CT scans; deep learning; lung cancer; raw data; sinogram; lung cancer; deep learning; sinogram; raw data; CT scans

Objective. In the realm of utilizing artificial intelligence (AI) for medical image analysis, the paradigm of ‘signal-image-knowledge’ has remained unchanged. However, the process of ‘signal to image’ inevitably introduces information distortion, ultimately leading to irrecoverable biases in the ‘im...