Building Balanced CT Datasets for Oncology Research
Tumour findings are rare and imbalanced. How to design a CT cohort that trains a model to catch the cases that matter.
GetDATA Team ·
Blog
Guides and insights on medical data, AI and research.
DICOM vs NIfTI: Choosing the Right Format for Your ML Pipeline
DICOM is the clinical source of truth; NIfTI is the research workhorse. When to use each, and the conversion pitfalls to avoid.
GetDATA Team ·
Chest X-ray Datasets for Medical AI: A Practical Buyer's Guide
Chest radiography is cheap and ubiquitous — and full of shortcut signals. Here is what to check before you train on a CXR dataset.
GetDATA Team ·
How to Source ECG Datasets for Arrhythmia Detection Models
What separates a training-ready 12-lead ECG cohort from a noisy one — labels, lead configuration, class balance and compliant sourcing.
GetDATA Team ·