Nearshore Application Development Services (Poland)
Case Study: Healthcare / Artificial Intelligence for Medical Image Classification
FIS SST nearshoring team looking into the research of using computer based classification of x-rays. Use of machine learning to potentially detect lung cancer in patients
Introduction
FIS SST worked on a research project, looking to establish if machine learning could be used to provide a reliable method of classification between healthy and unhealthy x-ray images of patient lungs.
Two of the core technologies FIS SST employed for the machine learning project included:
Tensorflow - an end-to-end platform for training machine learning models
Keras - a deep learning framework technology.
Challenges
- Data selection and x-ray images preparation for building the machine learning models
- Access to reference data for health individuals
- Lack of medical expert knowledge on the assessment of x-rays
- Various file formats for the X-ray images
