Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
This software offers methods and functions for training calibrated out-of-distribution detectors for medical image classification tasks. It includes functionalities for training, synthesizing data augmentations, calibration, and out-of-distribution detection. Developed using PyTorch, this software is compatible with standard neural network architectures used for imaging data. Additionally, it provides capabilities to compute evaluation metrics for assessing the performance and quality of the detectors.
- Short Name / Acronym:
- OODmedic
- Site Accession Number:
- LLNL-CODE-850636
- Software Type:
- Scientific
- License(s):
- MIT License
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- DOE Contract Number:
- AC52-07NA27344
- Code ID:
- 108775
- OSTI ID:
- code-108775
- Country of Origin:
- United States