Evaluating Bias in Machine Learning-Enabled Radiology Image Classification
As machine learning grows more prevalent in the medical field, it is important to ensure that fairness is considered as a central criterion in the evaluation of algorithms and models. Building upon previous work, we study a set of machine learning models used to detect spinal fractures, comparing th...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2023
|
| Online Access: | https://hdl.handle.net/1721.1/151662 |