cgita toolbox (MathWorks Inc)
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90
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MathWorks Inc
cgita toolbox
Cgita Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgita/pmc11682166-166-14-25
Average 90 stars, based on 1 article reviews
Cgita Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cgita/pmc11682166-166-14-25
Average 90 stars, based on 1 article reviews
cgita toolbox - by Bioz Stars,
2026-09
90/100 stars
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Positron Emission Tomography-Computed Tomography:Article Title: Clinical utility of texture analysis of 18F-FDG PET/CT in patients with Stage I lung cancer treated with stereotactic body radiotherapy Article Snippet: .. The 18 F-FDG PET/CT image and delineation data were imported to Software:Article Title: Clinical utility of texture analysis of 18F-FDG PET/CT in patients with Stage I lung cancer treated with stereotactic body radiotherapy Article Snippet: .. The 18 F-FDG PET/CT image and delineation data were imported to Article Title: Radiomics in breast cancer classification and prediction. Article Snippet: Breast Cancer (BC) is the common form of cancer in women.. Its diagnosis and screening are usually performed through different imaging modalities such as mammography, magnetic resonance imaging and ultrasound.. However, mammography and ultrasound-imaging techniques have limited sensitivity and specificity both in identifying lesions and in differentiating malign from benign lesions, especially in presence of dense breast parenchyma. Positron Emission Tomography:Article Title: Enhancing Lymphoma Diagnosis, Treatment, and Follow-Up Using 18 F-FDG PET/CT Imaging: Contribution of Artificial Intelligence and Radiomics Analysis Article Snippet: Wang et al. [ ] , 2020 , 110 , PFS and OS , Retrospective , LifeX (version 5.1) , ENKTL , Statistical analysis , PFS (training vs. validation): Radiomics-based Model: C-index = 0.811 vs. 0.588 Metabolism-based Model: C-index = 0.751 vs. 0.693 OS (training vs. validation): Radiomics-based Model: C-index = 0.818 vs. 0.628 Metabolism-based Model: C-index = 0.828 vs. 0.753. R-signature: PFS: HR = 3.56 (95% CI: 2.29–5.54, p = 0.001), C-index of 0.84 (95% CI: 0.77–0.91) OS: HR = 3.83 (95% CI: 2.37–6.20, p = 0.032), C-index of 0.90 (95% CI: 0.81–0.98). , Combining Rad-Sig and clinical factors demonstrate robust predictive capabilities. In the validation phase, the radiomics-based model demonstrated lower effectiveness compared to the metabolism-based models.. .. Lue et al. [ ] , 2020 , 35 , Response to Therapy, OS, PFS , Retrospective , |
63 ], which is prospective in its validation. This distinction highlights one of the key limitations of the research landscape, as retrospective studies may introduce biases that can affect the interpretation of the findings." width="250" height="auto" />
