| bibtype |
J -
Journal Article
|
| ARLID |
0465945 |
| utime |
20240111140928.9 |
| mtime |
20161124235959.9 |
| SCOPUS |
85007086435 |
| WOS |
000390183200005 |
| DOI |
10.3727/096368916X692005 |
| title
(primary) (eng) |
Automated Analysis of Microscopic Images of Isolated Pancreatic Islets |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0252393 |
| ISSN |
0963-6897 |
| title
|
Cell Transplantation |
| volume_id |
25 |
| volume |
12 (2016) |
| page_num |
2145-2156 |
| publisher |
|
|
| keyword |
enumeration of islets |
| keyword |
image processing |
| keyword |
image segmentation |
| keyword |
islet transplantation |
| keyword |
machine-learning |
| keyword |
quality control |
| author
(primary) |
| ARLID |
cav_un_auth*0336694 |
| name1 |
Habart |
| name2 |
D. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0277057 |
| name1 |
Švihlík |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0101190 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Schier |
| name2 |
Jan |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0216102 |
| name1 |
Cahová |
| name2 |
M. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0221384 |
| name1 |
Girman |
| name2 |
P. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0221382 |
| name1 |
Zacharovová |
| name2 |
K. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0221383 |
| name1 |
Berková |
| name2 |
Z. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0214394 |
| name1 |
Kříž |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0307772 |
| name1 |
Fabryová |
| name2 |
E. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0284136 |
| name1 |
Kosinová |
| name2 |
L. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0320486 |
| name1 |
Papáčková |
| name2 |
Z. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0233560 |
| name1 |
Kybic |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0069778 |
| name1 |
Saudek |
| name2 |
F. |
| country |
CZ |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0339800 |
| project_id |
GA14-10440S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
Clinical islet transplantation programs rely on the capacities of individual centers to quantify isolated islets. We describe two machine learning algorithms for islet quantification, the trainable islet algorithm (TIA) and the non-trainable purity algorithm (NPA). These algorithms automatically segment pancreatic islets and exocrine tissue on microscopic images in order to count individual islets, and calculate islet volume and purity. References for islet counts and volumes were generated by the fully manual segmentation (FMS) method, which was validated against the internal DNA standard. References for islet purity were generated via the expert visual assessment (EVA) method, which was validated against the FMS method. |
| RIV |
IN |
| reportyear |
2017 |
| num_of_auth |
13 |
| mrcbC52 |
4 A hod 4ah 20231122142036.8 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0265686 |
| cooperation |
| ARLID |
cav_un_auth*0336695 |
| name |
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague |
| institution |
ČVUT FEL |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0336696 |
| name |
Diabetes Center, Institute for Clinical and Experimental Medicine |
| institution |
IKEM |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0331984 |
| name |
University of Chemistry and Technology Prague |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0336697 |
| name |
Institute of Information Theory and Automation of the CAS |
| institution |
ÚTIA AV ČR |
| country |
CZ |
|
| cooperation |
| ARLID |
cav_un_auth*0336698 |
| name |
Center of Experimental Medicine, Institute for Clinical and Experimental Medicine |
| institution |
IKEM |
| country |
CZ |
|
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |
| confidential |
S |
| mrcbC86 |
3+4 Article Cell Tissue Engineering|Medicine Research Experimental|Transplantation |
| mrcbT16-e |
CELLTISSUEENGINEERING|MEDICINERESEARCHEXPERIMENTAL|TRANSPLANTATION |
| mrcbT16-j |
0.769 |
| mrcbT16-s |
1.063 |
| mrcbT16-4 |
Q1 |
| mrcbT16-B |
59.92 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q3 |
| arlyear |
2016 |
| mrcbTft |
\nSoubory v repozitáři: schier-0465945.pdf |
| mrcbU14 |
85007086435 SCOPUS |
| mrcbU34 |
000390183200005 WOS |
| mrcbU56 |
PDF dokument |
| mrcbU63 |
cav_un_epca*0252393 Cell Transplantation 0963-6897 1555-3892 Roč. 25 č. 12 2016 2145 2156 Sage |
|