CELL AND SUB-CELLULAR SEGMENTATION IN QUANTITATIVE PHASE IMAGING USING U-NET

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU148411" target="_blank" >RIV/00216305:26220/21:PU148411 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/eeict.2021.9" target="_blank" >10.13164/eeict.2021.9</a>

Result language
angličtina
Original language name
CELL AND SUB-CELLULAR SEGMENTATION IN QUANTITATIVE PHASE IMAGING USING U-NET
Original language description
Theabilitytoautomaticallysegmentimages,especiallymicroscopyimagesofcells,opens newopportunitiesincancerresearchorotherpracticalapplications.Recentadvancementsindeep learningenabledforeffectivesingle-cellsegmentation,however,automaticsegmentationofsubcellularregionsisstillchallenging.ThisworkdescribesanimplementationofaU-netneuralnetworkforlabel-freesegmentationofsub-cellularregionsonimagesofadherentprostatecancercells, specificallyPC-3and22Rv1.Usingthebestperformingapproach,outofallthathavebeentested, wehavemanagedtodistinguishbetweenobjectsandbackgroundwithaveragedicecoefficientsof 0.83,0.78and0.63forwholecells,nucleiandnucleolirespectively.
Czech name
—
Czech description
—

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers
ISBN
978-80-214-5943-4
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
9-12
Publisher name
Brno University of Technology, Faculty of Electrical Engineering and Communication
Place of publication
Brno
Event location
Brno
Event date
Apr 27, 2021
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—

Result description