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Artificial intelligence in breast imaging: Current situation and clinical challenges.
You, Chao; Shen, Yiyuan; Sun, Shiyun; Zhou, Jiayin; Li, Jiawei; Su, Guanhua; Michalopoulou, Eleni; Peng, Weijun; Gu, Yajia; Guo, Weisheng; Cao, Heqi.
Afiliação
  • You C; Department of Radiology Fudan University Shanghai Cancer Center Shanghai China.
  • Shen Y; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
  • Sun S; Department of Radiology Fudan University Shanghai Cancer Center Shanghai China.
  • Zhou J; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
  • Li J; Department of Radiology Fudan University Shanghai Cancer Center Shanghai China.
  • Su G; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
  • Michalopoulou E; Department of Radiology Fudan University Shanghai Cancer Center Shanghai China.
  • Peng W; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
  • Gu Y; Department of Radiology Fudan University Shanghai Cancer Center Shanghai China.
  • Guo W; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
  • Cao H; Department of Oncology Shanghai Medical College Fudan University Shanghai China.
Exploration (Beijing) ; 3(5): 20230007, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37933287
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article