54 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. Contrast-enhanced thin-slice abdominal CT with super-resolution deep learning reconstruction technique: evaluation of image quality and visibility of anatomical structures
6. Establishment and validation of a CT-based prediction model for the good dissolution of mild chronic subdural hematoma with atorvastatin treatment
7. Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR)
8. A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study
9. Impact of radiomics features, pulmonary emphysema score and muscle mass on the rate of pneumothorax and chest tube insertion in CT-guided lung biopsies
10. Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
11. Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT
12. The use of longitudinal CT-based radiomics and clinicopathological features predicts the pathological complete response of metastasized axillary lymph nodes in breast cancer
13. Prediction of epidermal growth factor receptor mutation status by textural features in stage IV lung adenocarcinoma
14. An image-based metal artifact reduction technique utilizing forward projection in computed tomography
15. Quality improvement of images with metal artifact reduction using a noise recovery technique in computed tomography
16. Directed searching optimized texture based adaptive gamma correction (DSOTAGC) technique for medical image enhancement
17. Method for measuring noise-power spectrum independent of the effect of extracting the region of interest from a noise image
18. Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study
19. Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?
20. Radiation dose reduction using spectral shaping in pediatric non-contrast sinus CT
21. Noise reduction performance of a deep learning-based reconstruction in brain computed tomography images acquired with organ-based tube current modulation
22. Radiomics analysis of contrast-enhanced computerized tomography for differentiation of gastric schwannomas from gastric gastrointestinal stromal tumors
23. The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions
24. Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method
25. 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
26. Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison
27. Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study
28. Risk assessment of external apical root resorption associated with orthodontic treatment using computed tomography texture analysis
29. Development of a prediction model of pancreatic fistula after duodenopancreatectomy and soft pancreas by assessing the preoperative image
30. A primer on texture analysis in abdominal radiology
31. Quantitative assessment of the maxillary sinusitis using computed tomography texture analysis: odontogenic vs non-odontogenic etiology
32. Application of deep-learning reconstruction algorithm for enhanced CT scan of upper abdomen under different radiation doses: focus on noise, contrast-to-noise ratio and image quality
33. Analysis of the value of enhanced CT combined with texture analysis in the differential diagnosis of pulmonary sclerosing pneumocytoma and atypical peripheral lung cancer: a feasibility study
34. CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients
35. Imaging Advances on CT and MRI in Colorectal Cancer
36. Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
37. Computed tomography texture analysis of mandibular condylar bone marrow in diabetes mellitus patients
38. Tocilizumab effects in COVID-19 pneumonia: role of CT texture analysis in quantitative assessment of response to therapy
39. CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors
40. CT texture analysis for prediction of EGFR mutational status and ALK rearrangement in patients with non-small cell lung cancer
41. Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction
42. RETRACTED ARTICLE: Soft computing-based edge-enhanced dominant peak and discrete Tchebichef extraction for image segmentation and classification using DCML-IC
43. CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma
44. Radiomics for liver tumours
45. Evaluation of low-contrast detectability for iterative reconstruction in pediatric abdominal computed tomography: a phantom study
46. Pediatric head computed tomography with advanced modeled iterative reconstruction: focus on image quality and reduction of radiation dose
47. Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy
48. Diagnosis of urine leakage after bladder repair: a prospective comparative study of ultra-low-dose CT cystography and conventional retrograde cystography
49. Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive, preventive and personalized medical approach in adrenal incidentalomas
50. Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis
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