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Multimodal radiomics-based methods using deep learning for prediction of brain metastasis in non-small cell lung cancer with 18F-FDG PET/CT images.

Yuan ZhuShan CongQiyang ZhangZhenxing HuangXiaohui YaoYou ChengDong LiangZhanli HuShao Dan
Published in: Biomedical physics & engineering express (2024)
Our approach enables the quantitative assessment of medical images and a deeper understanding of both superficial and deep tumor characteristics. This noninvasive method has the potential to identify BM-related features with statistical significance, thereby aiding in the development of targeted treatment plans for NSCLC patients.
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