Simplified Transfer Learning for Chest Radiography Model Development

Posted by Akib Uddin, Product Manager and Andrew Sellergren, Software Engineer, Google Health

Every year, nearly a billion chest X-ray (CXR) images are taken globally to aid in the detection and management of health conditions ranging from collapsed lungs to infectious diseases. Generally, CXRs are cheaper and more accessible than other forms of medical imaging. However, existing challenges continue to impede the optimal use of CXRs. For example, in some areas, trained radiologists that can accurately interpret CXR images are …

development health image-classification learning machine learning model development research simplified transfer transfer learning