TY - GEN
T1 - Extraction and tracking living cells in medical images
AU - Nedzvedz, O.
AU - Ablameyko, S.
AU - Uchida, S.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/31
Y1 - 2016/8/31
N2 - One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.
AB - One of the important problems of cytological image analysis is the cell segmentation. Today the most perspective direction of cytological image analysis is living cells investigation. Such images lead to many troubles for cell analysis. In this paper, we propose a solution of one such problems: pattern extraction of living cells from its aggregation and measurement of their 3D characteristics.
UR - http://www.scopus.com/inward/record.url?scp=84988908288&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988908288&partnerID=8YFLogxK
U2 - 10.1109/DT.2016.7557173
DO - 10.1109/DT.2016.7557173
M3 - Conference contribution
AN - SCOPUS:84988908288
T3 - IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016
SP - 198
EP - 202
BT - IDT 2016 - Proceedings of the International Conference on Information and Digital Technologies 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Conference on Information and Digital Technologies, IDT 2016
Y2 - 5 July 2016 through 7 July 2016
ER -