A curated list of medical imaging datasets with unified interfaces
Project description
Awesome Medical Imaging Datasets (AMID) - a curated list of medical imaging datasets with unified interfaces
Getting started
Just import a dataset and start using it!
Note that for some datasets you must manually download the raw files first.
from amid.verse import VerSe
ds = VerSe()
# get the available ids
print(len(ds.ids))
i = ds.ids[0]
# use the available methods:
# load the image and vertebrae masks
x, y = ds.image(i), ds.masks(i)
print(ds.split(i), ds.patient(i))
# or get a namedTuple-like object:
entry = ds(i)
x, y = entry.image, entry.masks
print(entry.split, entry.patient)
Check out our docs for a list of available datasets and their fields.
Install
Just get it from PyPi:
pip install amid
Or if you want to use version control features:
git clone https://github.com/neuro-ml/amid.git
cd amid && pip install -e .
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