Investigation of distributed learning for automated lesion detection in head MR images

In this study, we investigated the application of distributed learning, including federated learning and cyclical weight transfer, in the development of computer-aided detection (CADe) software for (1) cerebral aneurysm detection in magnetic resonance (MR) angiography images and (2) brain metastasis...

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Veröffentlicht in:	Radiological physics and technology 2024-09, Vol.17 (3), p.725-738
Hauptverfasser:	Yamada, Aiki, Hanaoka, Shouhei, Takenaga, Tomomi, Miki, Soichiro, Yoshikawa, Takeharu, Nomura, Yukihiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Angiography Automation Brain Brain Neoplasms - diagnostic imaging Federated learning Head - diagnostic imaging Humans Image contrast Image enhancement Image Processing, Computer-Assisted - methods Imaging Intracranial Aneurysm - diagnostic imaging Machine Learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical and Radiation Physics Medicine Medicine & Public Health Nuclear Medicine Radiology Radiotherapy Research Article Software Software development
Online-Zugang:	Volltext
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