Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics

Autor:	Pál Vakli, Béla Weiss, János Szalma, Péter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky
Rok vydání:	2023
Předmět:	Radiological and Ultrasound Technology Health Informatics Radiology Nuclear Medicine and imaging Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design
Zdroj:	Medical Image Analysis. 88:102850
ISSN:	1361-8415
DOI:	10.1016/j.media.2023.102850
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9edd08d0056c9249b8d1051dd192de1a https://doi.org/10.1016/j.media.2023.102850 Zobrazit plný text záznamu Full Text from ScienceDirect