healthcare - PerceptiLabs

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.

healthcare

Use Case: Retinal OCT

The human eye is a complex sensing organ that reacts to light to provide us with a field of view into the world around us. Taking care of our eyes is an important aspect of our overall healthcare. However, our eyes are susceptible to a number of diseases, some of

healthcare

Use Case: Detecting Defective Pills

To help automate the detection of defects in medical pills we set out to build an image recognition model in PerceptiLabs that could identify defective pills by analyzing images.

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.

Machine Learning

Transfer Learning Part II: When to use them in Image Processing

Transfer learning allows you to leverage an existing model by modifying and retraining it to fulfill a new use case. In this blog, we explore some key scenarios for why and when you should choose transfer learning over building a new machine learning model from scratch for image processing.