Across
- 5. A preliminary, low-dose X-ray image taken before the full CT scan to help the technician position the patient correctly.
- 7. A subset of machine learning that uses neural networks with many layers to analyze data, often used for image analysis in CT scans
- 10. Simulation of human intelligence in machines, often for tasks like image recognition, diagnosis, or automation in medical fields
- 11. A medical professional who interprets images like CT scans, often working alongside Al tools for more accurate diagnostics.
- 12. A medical imaging technique that uses X-rays to create cross-sectional images of the body, often used to diagnose diseases or conditions
Down
- 1. The process of partitioning an image (like a CT scan) into regions of interest, often done by Al algorithms to identify and measure specific structures.
- 2. A type of Al where algorithms improve automatically through experience, widely applied in medical imaging to assist with diagnosing conditions based on CT scans
- 3. A type of CT scan slice that is taken perpendicular to the body, creating a cross-sectional view.
- 4. The smallest unit of a 3D image, similar to a pixel in 2D images, which is important in the analysis of CT data, and used in Al algorithms for medical imaging.
- 6. A step-by-step procedure or formula for solving a problem or performing a task, often used in computer science and mathematics, including Al and image processing.
- 8. The process of extracting large amounts of quantitative features from medical images, such as CT scans, which can be analyzed using Al to predict outcomes.
- 9. A CT scanning technique where the X-ray tube moves in a spiral motion around the patient, allowing for faster image acquisition and improved image quality.