Published May 26, 2020
| Version 0.0.1
Dataset
Open
Dataset: Whole blood count, used in: "AIDeveloper: deep learning image classification in life science and beyond"
Authors/Creators
- 1. Max Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Staudtstraße 2, 91058 Erlangen, Germany
- 2. Department of Internal Medicine I, University Hospital Carl Gustav Carus, Fetscherstr. 74, 01307 Dresden, Germany
Description
Real-time deformability cytometry (RT-DC) data of whole blood measurements.
Data was used to train and validate a neural net to perform a blood count based on brightfield images of RT-DC.
01_Model: Contains the final model as well as an AIDeveloper meta-file that allows to reproduce the training procedure. The metafile preciesely defines which dataset was used for training and which for validation as well as all parameters that were set in AIDeveloper.
The following folders contain data that was used for training (and validation):
- Cambr
- KIK
- 20190306_DextranBlood_AI_DataSet
- Gs_Blood_Train
Testing data is stored on figshare:
https://figshare.com/articles/Krater_et_al_2020_Data_zip/9902636
Notes
Dataset was used in "AIDeveloper: deep learning image classification in life science and beyond"
Files
01_Model.zip
Files
(26.3 GB)
| Name | Size | |
|---|---|---|
|
md5:a4c7d918eac610da4f790fb3a440b9b6
|
1.4 MB | Preview Download |
|
md5:bb2effe6a0e88641921aa0f623c68939
|
9.2 GB | Preview Download |
|
md5:a6f66baae1ad65d35e1a44dbc7dec0ce
|
1.3 GB | Preview Download |
|
md5:944411d97469f12c37a700af83d828ad
|
8.6 GB | Preview Download |
|
md5:6428dd7960ae9dc7a897790afd5f4e92
|
7.2 GB | Preview Download |