Convolutional neural network based system for fully automatic FLAIR MRI segmentation in multiple sclerosis diagnosis

Abstract This study presents an automated system using Convolutional Neural Networks (CNNs) for segmenting FLAIR Magnetic Resonance Imaging (MRI) images to aid in the diagnosis of Multiple Sclerosis (MS). The dataset included 103 patients from Imam Khomeini Hospital, Tehran and an additional 10 pati...

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主要な著者:	Ali Arian Darestani, Mahsa Naeeni Davarani, Virginia Guillen -Cañas, Hasan Hashemi, Amin Zarei, Sanaz Heydari Havadaragh, Mohammad Hossein Harirchian
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-10-01
シリーズ:	Scientific Reports
主題:	Multiple Sclerosis Convolutional neural networks FLAIR MRI Image segmentation nnU-Net
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-14112-x
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