The automated interpretation of Pap smear images is a challenging issue with several aspects. The accurate segmentation of the structuring elements of each cell is a crucial …
The automated diagnosis of cervical cancer in Pap smear images is a difficult though extremely important procedure. In order to obtain reliable diagnostic information, the nuclei …
The presence of inflammatory cells complicates the process of identifying the nuclei in the early detection of cervical cancer. Inflammatory cells need to be eliminated to assist …
A Tareef, Y Song, MZ Lee, DD Feng… - … Conference on Digital …, 2015 - ieeexplore.ieee.org
Accurate cell segmentation is an important and long-standing challenge in biomedical image analysis due to large variations in shape and boundary ambiguity. In this paper, we …
S Oprisescu, T Rădulescu, A Sultana… - … on Signals, Circuits …, 2015 - ieeexplore.ieee.org
The Babes-Papanicolaou test (also known as Pap smear) is a method of cervical cancer screening used to detect abnormal cells which are or can become cancerous. Since the …
M Zhao, L Chen, L Bian, J Zhang… - … methods in medicine, 2015 - Wiley Online Library
Feature analysis and classification detection of abnormal cells from images for pathological analysis are an important issue for the realization of computer assisted disease diagnosis …
A Tareef, Y Song, W Cai, H Huang, Y Wang… - … , ICONIP 2015, Istanbul …, 2015 - Springer
The development of an automatic and accurate segmentation approach for both nuclei and cytoplasm remains an open problem due to the complexities of cell structures resulting from …
Overlapping cells in a medical image can affect the extraction process of cells' characteristics as they are visually indistinguishable from each other. This paper proposes a …
C Rasche, S Oprisescu, A Sultana… - … and Processing (ICCP …, 2015 - ieeexplore.ieee.org
A novel method for the detection and segmentation of nuclei and cells in Pap smear images is introduced. The method is based on a geometric analysis of iso-and edge-contours. For …