Published October 7, 2024
| Version v1
Dataset
Open
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
Creators
- Hirose, Kazutoshi (Researcher)1
- Kodera, Satoshi (Researcher)1
- Nishikawa, Masako (Researcher)2
- Sato, Masataka (Researcher)1
- Zhou, Yuqi (Researcher)3
- Zhang, Hongqian (Researcher)3
- Minatsuki, Shun (Researcher)1
- Ishida, Junichi (Researcher)1
- Takeda, Norifumi (Researcher)1
- Wang, Huidong (Researcher)3
- Kong, Chuiming (Researcher)3
- Deng, Yunjie (Researcher)3
- Chen, Junyu (Researcher)3
- Zhang, Chenqi (Researcher)3
- Akita, Jun (Researcher)3
- Ibayashi, Yuma (Researcher)3
- Yang, Ruoxi (Researcher)3
- Kanno, Hiroshi (Researcher)3
- Nitta, Nao (Researcher)4
- Sugimura, Takeaki (Researcher)4
- Takeda, Norihiko (Researcher)1
- Kurano, Makoto (Researcher)2
- Yatomi, Yutaka (Researcher)2
- Goda, Keisuke (Researcher)3
- 1. Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-0033, Japan
- 2. Department of Clinical Laboratory Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
- 3. Department of Chemistry, The University of Tokyo, Tokyo 113-0033, Japan
- 4. CYBO, Inc, Tokyo, 135-0064, Japan
Description
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
02_CNN_PhenotypeClassif.7z
CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.
codeforclassification.zip
Code for applying model on unlabelled data. Test data is contained in 'sampledata.zip'
Files
sampledata.zip
Files
(1.5 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:54d422cf49f551026423baeffa77e6f2
|
1.3 GB | Download |
|
md5:4555dca3b4140b722e7899ebd1de10be
|
184.8 MB | Preview Download |