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[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 IEEE.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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Cell identification,Cell segmentation,Inflammatory cells,Isolated cells,Overlapped area,Overlapping cells,Pap smear images,Second phase[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Inflammatory Cells,overlapped areas,overlapped cell segmentation,Pap smear images[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]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.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/IISA.2017.8316386[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]