Use Case Use Case: Wildfire Detection Every year, millions of hectares of forest are lost due to the spread of wildfires. However, using image recognition, authorities may now be able to identify wildfires from live-streamed images from cameras on highways or buildings.
healthcare Use Case: Highlighting Blood Cells in Dark-field Microscopy Using Image Segmentation An application of dark-field microscopy is to view blood sample features such as blood cells. We created a use case for applying image segmentation to dark-field microscopy images using PerceptiLabs.
Optometry Use Case: Ocular Disease Recognition We decided to build an ML model in PerceptiLabs that applies image recognition techniques on fundus images to detect possible cataracts in patients. Using a model like this could help doctors, optometrists, and researchers to more easily classify and detect such conditions.
Machine Learning Use Case: Skin Cancer Classification To accurately diagnose cancer cases, doctors need every possible tool at their disposal. In the case of skin cancer, the affected areas can often be visually examined without the need for invasive diagnostics typically involved with cancers inside the body.
Use Case Use Case: Classifying Chest X-Rays to Detect Pneumonia To accurately diagnose ailments, doctors need every possible tool at their disposal. This Use Case shows how to classify chest x-rays to detect Pneumonia.
image classification Use Case: Automated Weather Analysis Using Image Recognition Many industries have the need to identify current and past weather conditions. The data helps them plan, organize, and/or optimize their operations. This Use Case shows automated weather analysis using Image Recognition.
