AIMC Topic: Tomography, Spiral Computed

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Research on the effectiveness of multi-view slice correction strategy based on deep learning in high pitch helical CT reconstruction.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Recent studies have explored layered correction strategies, employing a slice-by-slice approach to mitigate the prominent limited-view artifacts present in reconstructed images from high-pitch helical CT scans. However, challenges persist...
Humans Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Artifacts Phantoms, Imaging Tomography, Spiral Computed
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The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Pulmonary nodule, one of the most common clinical phenomena, is an irregular circular lesion with a diameter of ⩽ 3 cm in the lungs, which can be classified as benign or malignant. Differentiating benign and malignant pulmonary nodules ha...
Humans Algorithms Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged Deep Learning ROC Curve Lung Neoplasms Multiple Pulmonary Nodules Solitary Pulmonary Nodule Diagnosis, Differential Tomography, Spiral Computed
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Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol.

Abdominal radiology (New York) Sep 1, 2020
PURPOSE: To evaluate whether a three-phase dynamic contrast-enhanced CT protocol, when combined with a deep learning model, has similar accuracy in differentiating hepatocellular carcinoma (HCC) from other focal liver lesions (FLLs) compared with a f...
Humans Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Male Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Tomography, Spiral Computed
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