TY - CHAP
T1 - Artificial Intelligence Algorithm Advances in Medical Imaging and Image Analysis
AU - Zhou, S. Kevin
AU - Dou, Qi
AU - Gao, Yue
AU - Han, Hu
AU - Ma, Jianhua
AU - Sun, Jian
AU - Zhang, Daoqiang
AU - Zhao, Shang
AU - Zheng, Yefeng
N1 - Publisher Copyright:
© People’s Medical Publishing House, PR of China 2024.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Medical imaging is a non-invasive method for obtaining internal images of the human body or specific body parts by utilizing physical phenomena such as light, electric fields, magnetic fields, and sound waves. In clinical practice, modalities such as X-ray imaging, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound are most commonly used. Imaging data serve as one of the most vital pieces of “evidence” in medical diagnosis, accounting for over 90% of the total medical data [1].
AB - Medical imaging is a non-invasive method for obtaining internal images of the human body or specific body parts by utilizing physical phenomena such as light, electric fields, magnetic fields, and sound waves. In clinical practice, modalities such as X-ray imaging, computed tomography (CT), magnetic resonance imaging (MRI), and ultrasound are most commonly used. Imaging data serve as one of the most vital pieces of “evidence” in medical diagnosis, accounting for over 90% of the total medical data [1].
UR - https://www.scopus.com/pages/publications/105002521773
U2 - 10.1007/978-981-99-8441-1_5
DO - 10.1007/978-981-99-8441-1_5
M3 - 章节
AN - SCOPUS:105002521773
SN - 9789819984404
SP - 83
EP - 110
BT - Artificial Intelligence in Medical Imaging in China
PB - Springer Nature
ER -