- Description:
DukeUltrasound is an ultrasound dataset collected at Duke University with a Verasonics c52v probe. It contains delay-and-sum (DAS) beamformed data as well as data post-processed with Siemens Dynamic TCE for speckle reduction, contrast enhancement and improvement in conspicuity of anatomical structures. These data were collected with support from the National Institute of Biomedical Imaging and Bioengineering under Grant R01-EB026574 and National Institutes of Health under Grant 5T32GM007171-44. A usage example is available here.
Homepage: https://github.com/ouwen/mimicknet
Source code:
tfds.datasets.duke_ultrasound.Builder
Versions:
1.0.0
: Initial release.1.0.1
(default): Fixes parsing of boolean fieldharmonic
.2.0.0
: Fix timestamp_id from %Y%m%d%H%M%S to posix timestamp.
Download size:
12.78 GiB
Dataset size:
13.79 GiB
Auto-cached (documentation): No
Splits:
Split | Examples |
---|---|
'A' |
1,362 |
'B' |
1,194 |
'MARK' |
420 |
'test' |
438 |
'train' |
2,556 |
'validation' |
278 |
- Feature structure:
FeaturesDict({
'das': FeaturesDict({
'dB': Tensor(shape=(None,), dtype=float32),
'imag': Tensor(shape=(None,), dtype=float32),
'real': Tensor(shape=(None,), dtype=float32),
}),
'dtce': Tensor(shape=(None,), dtype=float32),
'f0_hz': float32,
'final_angle': float32,
'final_radius': float32,
'focus_cm': float32,
'harmonic': bool,
'height': uint32,
'initial_angle': float32,
'initial_radius': float32,
'probe': string,
'scanner': string,
'target': string,
'timestamp_id': uint32,
'voltage': float32,
'width': uint32,
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
das | FeaturesDict | |||
das/dB | Tensor | (None,) | float32 | |
das/imag | Tensor | (None,) | float32 | |
das/real | Tensor | (None,) | float32 | |
dtce | Tensor | (None,) | float32 | |
f0_hz | Tensor | float32 | ||
final_angle | Tensor | float32 | ||
final_radius | Tensor | float32 | ||
focus_cm | Tensor | float32 | ||
harmonic | Tensor | bool | ||
height | Tensor | uint32 | ||
initial_angle | Tensor | float32 | ||
initial_radius | Tensor | float32 | ||
probe | Tensor | string | ||
scanner | Tensor | string | ||
target | Tensor | string | ||
timestamp_id | Tensor | uint32 | ||
voltage | Tensor | float32 | ||
width | Tensor | uint32 |
Supervised keys (See
as_supervised
doc):('das/dB', 'dtce')
Figure (tfds.show_examples): Not supported.
Examples (tfds.as_dataframe):
- Citation:
@article{DBLP:journals/corr/abs-1908-05782,
author = {Ouwen Huang and
Will Long and
Nick Bottenus and
Gregg E. Trahey and
Sina Farsiu and
Mark L. Palmeri},
title = {MimickNet, Matching Clinical Post-Processing Under Realistic Black-Box
Constraints},
journal = {CoRR},
volume = {abs/1908.05782},
year = {2019},
url = {http://arxiv.org/abs/1908.05782},
archivePrefix = {arXiv},
eprint = {1908.05782},
timestamp = {Mon, 19 Aug 2019 13:21:03 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/abs-1908-05782},
bibsource = {dblp computer science bibliography, https://dblp.org}
}