Source: European Journal of Nuclear Medicine & Molecular Imaging. May2023, Vol. 50 Issue 6, p1607-1620. 14p. 2 Color Photographs, 1 Diagram, 3 Charts, 3 Graphs.

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Deep learning and radiomics based automatic diagnosis of hippocampal sclerosis.

Authors : Zhang, Dachuan¹ (AUTHOR); Tong, Yusheng² (AUTHOR); Hu, Zhaoyu¹ (AUTHOR)

Source: International Journal of Neuroscience. Sep2023, Vol. 133 Issue 9, p947-958. 12p.

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Automated breast volume scanner based Radiomics for non-invasively prediction of lymphovascular invasion status in breast cancer.

Authors : Li, Yue¹ (AUTHOR); Wu, Xiaomin¹ (AUTHOR); Yan, Yueqiong¹ (AUTHOR)

Source: BMC Cancer. 8/30/2023, Vol. 23 Issue 1, p1-10. 10p.

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Promoting the application of pediatric radiomics via an integrated medical engineering approach.

Authors : Haige Zheng¹; Fang Wang²; Yang Li²

Source: Cancer Innovation. Aug2023, Vol. 2 Issue 4, p302-311. 10p.

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Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring.

Authors : Klontzas, Michail E.^1,2 (AUTHOR) ; Triantafyllou, Matthaios¹ (AUTHOR) ; Leventis, Dimitrios¹ (AUTHOR)

Source: Diagnostics (2075-4418). Jun2023, Vol. 13 Issue 12, p2021. 13p.

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Radiomics model based on multi-sequence MRI for preoperative prediction of ki-67 expression levels in early endometrial cancer.

Authors : Ding, Si-Xuan¹ (AUTHOR); Sun, Yu-Feng² (AUTHOR); Meng, Huan¹ (AUTHOR)

Source: Scientific Reports. 12/12/2023, Vol. 13 Issue 1, p1-10. 10p.

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Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets.

Authors : Woznicki, Piotr¹ (AUTHOR) ; Laqua, Fabian Christopher¹ (AUTHOR); Al-Haj, Adam² (AUTHOR)

Source: Insights into Imaging. 12/12/2023, Vol. 14 Issue 1, p1-13. 13p.

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Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules.

Authors : Sun, Haitao¹ (AUTHOR); Zhang, Chunling¹ (AUTHOR); Ouyang, Aimei¹ (AUTHOR)

Source: BioMedical Engineering OnLine. 11/30/2023, Vol. 22 Issue 1, p1-21. 21p.

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Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature.

Authors : Qian, Luo-Dan¹ (AUTHOR); Zhang, Shu-Xin¹ (AUTHOR); Li, Si-Qi¹ (AUTHOR)

Source: Insights into Imaging. 11/24/2023, Vol. 14 Issue 1, p1-12. 12p.

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Sensitivity of standardised radiomics algorithms to mask generation across different software platforms.

Authors : Whybra, Philip¹ (AUTHOR); Spezi, Emiliano¹ (AUTHOR)

Source: Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-13. 13p.

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نتائج البحث

فلترة النتائج

Machine learning predictive performance evaluation of conventional and fuzzy radiomics in clinical cancer imaging cohorts.

Deep learning and radiomics based automatic diagnosis of hippocampal sclerosis.

Automated breast volume scanner based Radiomics for non-invasively prediction of lymphovascular invasion status in breast cancer.

Promoting the application of pediatric radiomics via an integrated medical engineering approach.

Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring.

Radiomics model based on multi-sequence MRI for preoperative prediction of ki-67 expression levels in early endometrial cancer.

Addressing challenges in radiomics research: systematic review and repository of open-access cancer imaging datasets.

Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules.

Predicting MYCN amplification in paediatric neuroblastoma: development and validation of a 18F-FDG PET/CT-based radiomics signature.

Sensitivity of standardised radiomics algorithms to mask generation across different software platforms.

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