Artificial intelligence in breast imaging: Current situation and clinical challenges
Chao You,
Yiyuan Shen,
Shiyun Sun,
Jiayin Zhou,
Jiawei Li,
Guanhua Su,
Eleni Michalopoulou,
Weijun Peng,
Yajia Gu,
Weisheng Guo,
Heqi Cao
Affiliations
Chao You
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Yiyuan Shen
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Shiyun Sun
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Jiayin Zhou
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Jiawei Li
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Guanhua Su
Department of Oncology Shanghai Medical College Fudan University ShanghaiChina
Eleni Michalopoulou
Technical Services Team University of Nottingham NottinghamUK
Weijun Peng
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Yajia Gu
Department of Radiology Fudan University Shanghai Cancer Center ShanghaiChina
Weisheng Guo
Department of Minimally Invasive Interventional Radiology Key Laboratory of Molecular Target and Clinical Pharmacology School of Pharmaceutical Sciences and The Second Affiliated Hospital Guangzhou Medical University GuangzhouChina
Heqi Cao
Department of Health Sciences National Natural Science Foundation of China BeijingChina
Abstract Breast cancer ranks among the most prevalent malignant tumours and is the primary contributor to cancer‐related deaths in women. Breast imaging is essential for screening, diagnosis, and therapeutic surveillance. With the increasing demand for precision medicine, the heterogeneous nature of breast cancer makes it necessary to deeply mine and rationally utilize the tremendous amount of breast imaging information. With the rapid advancement of computer science, artificial intelligence (AI) has been noted to have great advantages in processing and mining of image information. Therefore, a growing number of scholars have started to focus on and research the utility of AI in breast imaging. Here, an overview of breast imaging databases and recent advances in AI research are provided, the challenges and problems in this field are discussed, and then constructive advice is further provided for ongoing scientific developments from the perspective of the National Natural Science Foundation of China.
