TY - CHAP
T1 - Radiomics and Multiomics Research
AU - Dong, Di
AU - Liu, Shengyuan
AU - Liu, Zhenyu
AU - Mu, Wei
AU - Wang, Shuo
AU - Shao, Lizhi
AU - Li, Bao
AU - Wei, Jingwei
AU - Jiang, Yuming
AU - Wan, Xiangbo
AU - Tian, Jie
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 diagnostic method that is commonly used in clinical practice, and its role has gradually evolved from a major diagnostic tool to an important means to assist doctors in personalized and precise treatment. At present, clinicians rely on subjective experience to make diagnoses based on qualitative signs such as the size, shape, location, and density of lesions in images. However, the number of these qualitative signs is limited, and it is difficult to fully reflect the characteristics of a patient’s disease in these images. With the development of artificial intelligence and the increase in medical imaging data, medical image analysis research has grown [1].
AB - Medical imaging is a non-invasive diagnostic method that is commonly used in clinical practice, and its role has gradually evolved from a major diagnostic tool to an important means to assist doctors in personalized and precise treatment. At present, clinicians rely on subjective experience to make diagnoses based on qualitative signs such as the size, shape, location, and density of lesions in images. However, the number of these qualitative signs is limited, and it is difficult to fully reflect the characteristics of a patient’s disease in these images. With the development of artificial intelligence and the increase in medical imaging data, medical image analysis research has grown [1].
UR - https://www.scopus.com/pages/publications/105002529723
U2 - 10.1007/978-981-99-8441-1_4
DO - 10.1007/978-981-99-8441-1_4
M3 - 章节
AN - SCOPUS:105002529723
SN - 9789819984404
SP - 61
EP - 83
BT - Artificial Intelligence in Medical Imaging in China
PB - Springer Nature
ER -