Anuradha Kar

Anuradha Kar is a Postdoctoral researcher at École normale supérieure de Lyon, and works in collaboration with the research institutes INRAE and INRIA in France. Her current research is on the application of deep learning algorithms for deriving quantitative information from microscopy image datasets. This is used by biologists to analyze cellular developmental processes in plants and animals. She has a PhD in electrical engineering from the National University of Ireland, Galway. Her research centers on vision sensors, artificial intelligence and computer vision. She has published on deep learning, human-computer interactions and sensor evaluation techniques.

projects by Anuradha Kar

Transfer Learning for Dicom Image Classification

4 weeks · 4-6 hours per week average · INTERMEDIATE

Included with a Manning Online subscription

catalog / Data Science / Machine Learning / Computer Vision

In this series of liveProjects, you’ll use deep learning to build an image classification model that can perform early diagnostics of COVID-19. Your model will examine X-rays and CT scans and seek to classify them as either COVID or non-COVID types. You’ll start by training custom deep learning models from scratch, and then experiment with transfer learning using premade models. Familiarity with both these approaches will ensure you’re able to design a powerful solution for any deep learning problem, model, or dataset. Finally, you’ll test and report on the efficiency of trained models to decide which model delivers the best results.