OMAMA-DB: THE OREGON-MASSACHUSETTS MAMMOGRAPHY DATABASE
Under the guidance of
Professor Daniel Haehn
March 31st 2026
SPIE Journal of Medical Imaging (JMI) Special Issue “Peer-Validated Resources for Medical Imaging: Datasets, Software, and Benchmarks
Submitted to :
Motivation
What is OMAMA-DB?
- Public mammography dataset
- Hosted on Harvard Dataverse
- Includes:
2D Mammograms
3D Tomosynthesis
- Total of 231,080 images
2D
Available Data Formats in OMAMA-DB
3D
4-Views
Dataset Comparision
Dataset Creation
Outlier Detection (ODM)
Web-Based Annotation Tool
white/0.00, red/0.20, orange/0.40, yellow/0.60, green/0.80, and blue/1.00
Web-Based Annotation Tool
white/0.00, red/0.20, orange/0.40, yellow/0.60, green/0.80, and blue/1.00
Deepsight
Applied to:
191,547 2D
67,534 3D
Deepsight Study vs Image level
deepsight2.sh -i /path/to/combined/ -o /path/to/OUT/combined/ -cl
/path/to/combined caselist.txt
deepsight2.sh -i /path/to/single/01 -o /path/to/OUT/single1/ -cl
/path/to/single01 caselist.txt --additional params --checks to ignore
SAC-30 SAC-40 SAC-50 SAC-60 FAC-200
Deepsight Study vs Image level
Deepsight Study vs Image level
Left : (0.6889+0.557)/2 = 0.623
Right: (0.0709+0.1253)/2 = 0.0981
Download Stats
APPLICATIONS AND USE CASES
Binary Cancer Classification Using MedGemma
