Table S1. Receiver operating characteristic curve analysis combining features of chest computed tomography (CT), textural features, and 18-fluorodeoxyglucose positron emission tomography/CT (FDG PET/CT) (DOCX 18 kb
Sample purity. Figure S2. Sample dissimilarity. Figure S3. Unsupervised clustering and heatmaps. Fig...
Table S2. The association between breast measures and screen-detected breast cancer risk. (DOCX 17Â ...
Fits curves of proliferation index to CE_Area and CE_Nuclei (depending on heterogeneity levels). Gra...
Figure S1. Endobronchial ultrasound (EBUS) findings. Round shape (a), oval shape (b), central hilar ...
Table S1. Comparison of diagnostic values between PET/CT using the optimized cut-off values and the ...
Table S2. Comparison of diagnostic values between PET/CT using the optimized cut-off values and the ...
Table S1. Clinical and pathological characteristics for eligible patients in the I-SPY cohort. Table...
Table S1. Texture measures in combination with breast density and breast cancer risk. (DOCX 16Â kb
Table S3. Texture measures in combination with breast density and screen-detected breast cancer risk...
Figure S1. Illustration of the influence of logistic model parameters on curve, and the model fitted...
Background Texture analysis and machine learning methods are useful in distinguishing between benign...
Table S1 Relevant image information for nonclinical sample sets. Table S2 Nonclinical tumor samples,...
Diagnostic performance of FDG-PET/CT, MRI, combined FDG-PET/CT and MRI, and the consensus reading (l...
Purpose: To determine whether radiomics texture features can be reproducibly obtained from megavolta...
Figure S2. Impact of voxels post-reconstruction resampling. Left panels display the mean decrease ac...
Sample purity. Figure S2. Sample dissimilarity. Figure S3. Unsupervised clustering and heatmaps. Fig...
Table S2. The association between breast measures and screen-detected breast cancer risk. (DOCX 17Â ...
Fits curves of proliferation index to CE_Area and CE_Nuclei (depending on heterogeneity levels). Gra...
Figure S1. Endobronchial ultrasound (EBUS) findings. Round shape (a), oval shape (b), central hilar ...
Table S1. Comparison of diagnostic values between PET/CT using the optimized cut-off values and the ...
Table S2. Comparison of diagnostic values between PET/CT using the optimized cut-off values and the ...
Table S1. Clinical and pathological characteristics for eligible patients in the I-SPY cohort. Table...
Table S1. Texture measures in combination with breast density and breast cancer risk. (DOCX 16Â kb
Table S3. Texture measures in combination with breast density and screen-detected breast cancer risk...
Figure S1. Illustration of the influence of logistic model parameters on curve, and the model fitted...
Background Texture analysis and machine learning methods are useful in distinguishing between benign...
Table S1 Relevant image information for nonclinical sample sets. Table S2 Nonclinical tumor samples,...
Diagnostic performance of FDG-PET/CT, MRI, combined FDG-PET/CT and MRI, and the consensus reading (l...
Purpose: To determine whether radiomics texture features can be reproducibly obtained from megavolta...
Figure S2. Impact of voxels post-reconstruction resampling. Left panels display the mean decrease ac...
Sample purity. Figure S2. Sample dissimilarity. Figure S3. Unsupervised clustering and heatmaps. Fig...
Table S2. The association between breast measures and screen-detected breast cancer risk. (DOCX 17Â ...
Fits curves of proliferation index to CE_Area and CE_Nuclei (depending on heterogeneity levels). Gra...
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