Streamlit Application and Deep Learning Model for Brain Metastasis Monitoring After Gamma Knife Treatment

<b>Background/Objective</b>: This study explores the use of AI-powered radiomics to classify and monitor brain metastasis progression and regression following Gamma Knife radiosurgery (GKRS) based on MRI imaging. A clinical decision support application was developed using Streamlit to provide real-t...

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書誌詳細

主要な著者:	Răzvan Buga, Călin Gh. Buzea, Maricel Agop, Lăcrămioara Ochiuz, Decebal Vasincu, Ovidiu Popa, Dragoș Ioan Rusu, Ioana Știrban, Lucian Eva
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-02-01
シリーズ:	Biomedicines
主題:	deep learning-based classification deep learning in medical imaging brain metastasis monitoring gamma knife radiosurgery outcomes AI-powered clinical decision support
オンライン･アクセス:	https://www.mdpi.com/2227-9059/13/2/423
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