- Description:
The Malaria dataset contains a total of 27,558 cell images with equal instances of parasitized and uninfected cells from the thin blood smear slide images of segmented cells.
Source code:
tfds.image_classification.Malaria
Versions:
1.0.0
(default): No release notes.
Download size:
337.08 MiB
Dataset size:
Unknown size
Auto-cached (documentation): Unknown
Splits:
Split | Examples |
---|---|
'train' |
27,558 |
- Features:
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=tf.uint8),
'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),
})
Supervised keys (See
as_supervised
doc):('image', 'label')
Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
- Citation:
@article{rajaraman2018pre,
title={Pre-trained convolutional neural networks as feature extractors toward
improved malaria parasite detection in thin blood smear images},
author={Rajaraman, Sivaramakrishnan and Antani, Sameer K and Poostchi, Mahdieh
and Silamut, Kamolrat and Hossain, Md A and Maude, Richard J and Jaeger,
Stefan and Thoma, George R},
journal={PeerJ},
volume={6},
pages={e4568},
year={2018},
publisher={PeerJ Inc.}
}