TY - GEN
T1 - Segmentation of overlapping cytoplasm and overlapped areas in Pap smear images
AU - Riana, Dwiza
AU - Hidayanto, Achmad Nizar
AU - Widyantoro, Dwi H.
AU - Mengko, Tati Latifah R.
AU - Kalsoem, Oemie
N1 - Funding Information:
Dwiza Riana would like to thank The Ministry of Research, Technology and Higher Education (RISTEKDIKTI), Indonesia through Penelitian Pasca Doktor (2017) for supporting this research, Laboratorium Khusus Patologi Veteran, Bandung, Indonesia for the Pap smear images database.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/3/14
Y1 - 2018/3/14
N2 - The ample of overlapping cells that complicate the slides reading and interpretation by pathologists has become a problem encountered in the conventional retrieval result. Another delicate problem is determining and analyzing the nucleus in the Pap smear of microcospic cells with inflammatory. A method for detecting overlapping cells and reducing the inflammatory cells to facilitate cell identification is required to solve the problems of overlapping cells and inflammatory cells. The proposed method is based on the fact that in isolated cells, the cell nucleus is located in the center of the surrounding cytoplasm. The first phase of the proposed method is the segmentation of the overlapping cells which consists of overlapping cytoplasm segmentation and overlapped area segmentation. The second phase of the proposed method is the overlapping cell separation and the last phase is the inflammatory cells ellimination and nucleus detection. The method has been evaluated on single cell images of conventional Pap smears, and the results are very promising.
AB - The ample of overlapping cells that complicate the slides reading and interpretation by pathologists has become a problem encountered in the conventional retrieval result. Another delicate problem is determining and analyzing the nucleus in the Pap smear of microcospic cells with inflammatory. A method for detecting overlapping cells and reducing the inflammatory cells to facilitate cell identification is required to solve the problems of overlapping cells and inflammatory cells. The proposed method is based on the fact that in isolated cells, the cell nucleus is located in the center of the surrounding cytoplasm. The first phase of the proposed method is the segmentation of the overlapping cells which consists of overlapping cytoplasm segmentation and overlapped area segmentation. The second phase of the proposed method is the overlapping cell separation and the last phase is the inflammatory cells ellimination and nucleus detection. The method has been evaluated on single cell images of conventional Pap smears, and the results are very promising.
KW - Inflammatory Cells
KW - Pap smear images
KW - overlapped areas
KW - overlapped cell segmentation
UR - http://www.scopus.com/inward/record.url?scp=85047908985&partnerID=8YFLogxK
U2 - 10.1109/IISA.2017.8316386
DO - 10.1109/IISA.2017.8316386
M3 - Conference contribution
AN - SCOPUS:85047908985
T3 - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
SP - 1
EP - 5
BT - 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
Y2 - 27 August 2017 through 30 August 2017
ER -