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Fig. 1 | Biomarker Research

Fig. 1

From: Exploring non-invasive precision treatment in non-small cell lung cancer patients through deep learning radiomics across imaging features and molecular phenotypes

Fig. 1

Overall study design. Step 1: CT image preprocessing, three ROIs are utilized as input images. Step 2: CT deep learning model schematic. The pre-trained DenseNet121 is employed as the backbone network to encode input images into network features. Step 3: Radiomics model workflow. Step 4: Development and integration details of the deep learning radiomics model. ROI: region of interest

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Biomarker Research

ISSN: 2050-7771

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