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Attenuation is also frequently used in the radiology field to discuss the characteristics of an anatomical structure represented in an X-ray. In brewing, attenuation refers to the process of converting sugars into alcohol and carbon dioxide by fermentation. The greater the attenuation, the more sugar...
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Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.
AI Radiology Radiology has been integrating AI for quite some time to do computer-aided cancer detection, auto-segmentation of organs, and natural language processing to help with reporting. However, now it is being implemented in many new ways, including using AI to read X-rays and other im...
Liver-specific contrast agents such as Gd-EOB-DTPA were first developed to improve the contrast-to-noise ratio between metastases and liver parenchyma. Lesions with no hepatocytes, such as metastases, or with less functioning hepatocytes, such as most HCCs, do not accumulate Gd-EOB-DTPA and appe...
This feature of IR is complicated, however, by the potential change in overall appearance of images processed with IR. One source of this change in appearance is the nonlinear manner in which IR techniques affect the noise and spatial resolution of CT images: IR allows substantial noise ...
The clarity of CBCT images is affected by artifacts, noise, and poor soft tissue contrast. Applications Currently, CBCT is used most commonly in the assessment of bony and dental pathologic conditions, including fracture; structural maxillofacial deformity and fracture recognition; preoperative assessment...
DIMSDigital Image Management System(radiology) DIMSDynamic Importance Sampling DIMSDocument Information Management System DIMSDifficulty in Maintaining Sleep DIMSDeficiency Item Management System DIMSDirectory Information Management System DIMSDefense Integrated Management System ...