medical - PerceptiLabs

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.

medical

Use Case: Breast Cancer Detection

Inspired by the growing use of ML in healthcare, we decided to build an image recognition model in PerceptiLabs trained on malignant and benign microscopic biopsy images.

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.