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A hospital is developing an AI system to assist radiologists in detecting subtle abnormalities in medical images, such as tumors. The system needs to not only identify the presence of an abnormality but also precisely outline its boundaries within the image. Which computer vision technique is best suited for this task?
- AImage Segmentation
- BObject Detection
- CFacial Recognition
- DImage Classification
Show answer & explanationAnswer & explanation
Correct answer: A. Image Segmentation
Image Segmentation is the computer vision technique that involves partitioning an image into multiple segments or objects, down to the pixel level. This allows for precise outlining of abnormalities, which is crucial for medical diagnosis.
Why the other options are wrong
- B. Object Detection identifies objects and draws bounding boxes around them, which is less precise than pixel-level outlining.
- C. Facial Recognition is a specialized form of object detection/classification focused on human faces.
- D. Image Classification assigns a single label to the entire image, which isn't precise enough for outlining abnormalities.
Image Segmentation
Image segmentation is a computer vision technique that divides an image into multiple segments or regions, often down to the pixel level. Each segment corresponds to an object or a distinct part of the image, allowing for precise localization and boundary detection.
- Assigns a label to every pixel in an image.
- Provides pixel-level understanding of an image.
- Used for precise object boundary detection.
- Applications include medical imaging, autonomous driving, satellite imagery analysis.
Memory trick: Vision tasks range from 'classifying' a whole picture to 'segmenting' every pixel.