Pathology

Computer Vision in Industry and Medicine Computer vision uses cameras, sensors, and intelligent software to turn images into useful data. It helps machines see, measure, and react. In industry and medicine, this capability boosts safety, quality, and speed. In industry, several practical applications stand out. Quality control on assembly lines, where cameras spot defects and parts that do not meet specifications. Predictive maintenance, using visual cues to detect wear, leaks, or misalignment before a failure. Inventory and asset tracking, with automatic counting and location updates from cameras and linked data streams. In medicine, the same ideas support doctors and nurses. ...

Computer Vision in Healthcare: From Diagnostics to Imaging Medical images carry a lot of information. Computer vision uses AI to read those images and find patterns fast. In healthcare, this helps doctors spot disease earlier, check changes over time, and plan care with more confidence. The field covers radiology, pathology, dermatology, and more, all with a common goal: safer, faster, and fairer patient care. Use cases in diagnostics include: Chest X-ray screening for pneumonia, edema, or nodules Skin lesion analysis to judge melanoma risk Digital pathology slide analysis for cell counting and tissue patterns Retinal imaging to spot early signs of diabetic or hypertensive disease These tools are best used to support clinicians, not replace their judgment. ...