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Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures
SYS 0460374 LBL 01000a^^22220027750^450 005 20240103212342.9 014 $a 84964040128 $2 SCOPUS 014 $a 000389499600034 $2 WOS 017 $a 10.1007/978-3-319-32034-2_34 $2 DOI 100 $a 20160628d m y slo 03 ba 101 $a eng 102 $a CH 200 1-
$a Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures 215 $a 12 s. $c E 463 -1
$1 001 cav_un_epca*0460373 $1 010 $a 978-3-319-32033-5 $1 011 $a 0302-9743 $1 200 1 $a Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings $v S. 402-103 $1 210 $a Cham $c Springer International Publishing $d 2016 $1 225 $a Lecture Notes in Computer Science $v 9648 $1 702 1 $4 340 $a Martínez-Álvarez $b F. $1 702 1 $4 340 $a Troncoso $b A. $1 702 1 $4 340 $a Quintián $b H. $1 702 1 $4 340 $a Corchado $b E. 610 $a automated cell counting 610 $a image segmentation 610 $a plant cell 610 $a suspension cultures 610 $a 3D reconstruction 610 $a visualization 700 -1
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$3 cav_un_auth*0261081 $a Červený $b Jan $i Sekce adaptivních a inovačních technik $j Domain of Adaptive and Innovative Techniques $k VS5 $p UEK-B $w Environmental Effects on Ecosystems $y CZ $T Ústav výzkumu globální změny AV ČR, v. v. i. 701 -1
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Number of the records: 1