Abstract
The automated segmentation of cells in microscopic images is an open research problem that has important implications for studies of the developmental and cancer processes based on in vitro models. In this paper, we present the approach for segmentation of the DIC images of cultured cells using G-neighbor smoothing followed by Kauwahara filtering and local standard deviation approach for boundary detection. NIH FIJI/ImageJ tools are used to create the ground truth dataset. The results of this work indicate that detection of cell boundaries using segmentation approach even in the case of realistic measurement conditions is a challenging problem.
| Original language | English |
|---|---|
| Title of host publication | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2382-2387 |
| Number of pages | 6 |
| Volume | 2017-January |
| ISBN (Electronic) | 9781509063673 |
| DOIs | |
| Publication status | Published - Nov 30 2017 |
| Event | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: Sep 13 2017 → Sep 16 2017 |
Conference
| Conference | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
|---|---|
| Country | India |
| City | Manipal, Mangalore |
| Period | 9/13/17 → 9/16/17 |
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Keywords
- Cancer
- G-neighbor
- Image processing
- Live cell imaging
- Microscopy
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
Cite this
Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development. / Kauanova, Sholpan; Vorobjev, Ivan; James, Alex Pappachen.
2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 2382-2387.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automated image segmentation for detecting cell spreading for metastasizing assessments of cancer development
AU - Kauanova, Sholpan
AU - Vorobjev, Ivan
AU - James, Alex Pappachen
PY - 2017/11/30
Y1 - 2017/11/30
N2 - The automated segmentation of cells in microscopic images is an open research problem that has important implications for studies of the developmental and cancer processes based on in vitro models. In this paper, we present the approach for segmentation of the DIC images of cultured cells using G-neighbor smoothing followed by Kauwahara filtering and local standard deviation approach for boundary detection. NIH FIJI/ImageJ tools are used to create the ground truth dataset. The results of this work indicate that detection of cell boundaries using segmentation approach even in the case of realistic measurement conditions is a challenging problem.
AB - The automated segmentation of cells in microscopic images is an open research problem that has important implications for studies of the developmental and cancer processes based on in vitro models. In this paper, we present the approach for segmentation of the DIC images of cultured cells using G-neighbor smoothing followed by Kauwahara filtering and local standard deviation approach for boundary detection. NIH FIJI/ImageJ tools are used to create the ground truth dataset. The results of this work indicate that detection of cell boundaries using segmentation approach even in the case of realistic measurement conditions is a challenging problem.
KW - Cancer
KW - G-neighbor
KW - Image processing
KW - Live cell imaging
KW - Microscopy
UR - http://www.scopus.com/inward/record.url?scp=85042678988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042678988&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2017.8126203
DO - 10.1109/ICACCI.2017.8126203
M3 - Conference contribution
VL - 2017-January
SP - 2382
EP - 2387
BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -