Your browser doesn't support javascript.
loading
Exploring the Application of the Artificial-Intelligence-Integrated Platform 3D Slicer in Medical Imaging Education.
Zhang, Ying; Feng, Hongbo; Zhao, Yan; Zhang, Shuo.
Afiliación
  • Zhang Y; Second Department of Arrhythmia, Dalian Municipal Central Hospital Affiliated to Dalian University of Technology, Dalian 116089, China.
  • Feng H; Department of Nuclear Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
  • Zhao Y; Department of Information Center, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
  • Zhang S; Department of Nuclear Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Diagnostics (Basel) ; 14(2)2024 Jan 08.
Article en En | MEDLINE | ID: mdl-38248022
ABSTRACT
Artificial Intelligence (AI) has revolutionized medical imaging procedures, specifically with regard to image segmentation, reconstruction, interpretation, and research. 3D Slicer, an open-source medical image analysis platform, has become a valuable tool in medical imaging education due to its integration of various AI applications. Through its open-source architecture, students can gain practical experience with diverse medical images and the latest AI technology, reinforcing their understanding of anatomy and imaging technology while fostering independent learning and clinical reasoning skills. The implementation of this platform improves instruction quality and nurtures skilled professionals who can meet the demands of clinical practice, research institutions, and technology innovation enterprises. AI algorithms' application in medical image processing have facilitated their translation from the lab to practical clinical applications and education.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China