A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow

BackgroundReproducible approaches are needed to bring AI/ML for medical image analysis closer to the bedside. Investigators wishing to shadow test cross-sectional medical imaging segmentation algorithms on new studies in real-time will benefit from simple tools that integrate PACS with on-premises i...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Lei Zhang, Wayne LaBelle, Mathias Unberath, Haomin Chen, Jiazhen Hu, Guang Li, David Dreizin
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2023-10-01
Saila:	Frontiers in Medicine
Gaiak:	artificial intelligence deep learning nnU-net PACS DICOM OHIF
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1241570/full
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!