17 results on '"Image texture"'
Search Results
2. Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptance
3. Preoperative prediction of perineural invasion and KRAS mutation in colon cancer using machine learning
4. Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection
5. Establishment and validation of a CT-based prediction model for the good dissolution of mild chronic subdural hematoma with atorvastatin treatment
6. Radiation dose reduction using spectral shaping in pediatric non-contrast sinus CT
7. Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors
8. Postoperative computed tomography imaging of pediatric patients with craniosynostosis: radiation dose and image quality comparison between multi-slice computed tomography and O-arm cone-beam computed tomography
9. Development of a prediction model of pancreatic fistula after duodenopancreatectomy and soft pancreas by assessing the preoperative image
10. Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
11. RETRACTED ARTICLE: Soft computing-based edge-enhanced dominant peak and discrete Tchebichef extraction for image segmentation and classification using DCML-IC
12. Radiomics for liver tumours
13. Evaluation of low-contrast detectability for iterative reconstruction in pediatric abdominal computed tomography: a phantom study
14. Pediatric head computed tomography with advanced modeled iterative reconstruction: focus on image quality and reduction of radiation dose
15. Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy
16. Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction
17. CT Radiomics in Thoracic Oncology: Technique and Clinical Applications
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