MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.
Lidia GarruchoClaire-Anne ReidelKaisar KushibarSmriti JoshiRichard OsualaApostolia TsirikoglouMaciej BobowiczJavier del RiegoAlessandro CataneseKatarzyna GwozdziewiczMaria-Laura CosakaPasant M. Abo-ElhodaSara W. TantawyShorouq S. SakranaNorhan O. Shawky-AbdelfatahAmr Muhammad Abdo-SalemAndroniki KozanaEugen DivjakGordana IvanacKaterina NikiforakiMichail E. KlontzasRosa García-DosdáMeltem Gulsun-AkpinarOguz LafciRitse MannCarlos Martín-IslaFred W. PriorKostas MariasMartijn P. A. StarmansFredrik StrandOliver DíazLaura IgualKarim LekadirPublished in: CoRR (2024)
Keyphrases
- breast cancer
- benchmark datasets
- dce mri
- benign and malignant
- computer aided diagnosis
- logistic regression
- anatomical structures
- medical images
- mri data
- manual segmentation
- image segmentation
- breast tissue
- active contour model
- automatic segmentation
- contrast enhancement
- magnetic resonance images
- model driven
- remote sensing
- curve fitting
- cad systems
- co occurrence
- least squares
- image analysis