• Journal of information and communication convergence engineering
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• v.6 no.1
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• pp.94-99
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• 2008

Segmentation for the region of nucleus in the image of uterine cervical cytodiagnosis is known as the most difficult and important part in the automatic cervical cancer recognition system. In this paper, the region of nucleus is extracted from an image of uterine cervical cytodiagnosis using the HSI model. The characteristics of the nucleus are extracted from the analysis of morphemetric features, densitometric features, colormetric features, and textural features based on the detected region of nucleus area. The classification criterion of a nucleus is defined according to the standard categories of the Bethesda system. The fuzzy C-means clustering algorithm is employed to the extracted nucleus and the results show that the proposed method is efficient in nucleus recognition and uterine cervical Pap-Smears extraction.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.519-524
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• 2006

Segmentation for the region of nucleus in the image of uterine cervical cytodiagnosis is known as the most difficult and important part in the automatic cervical cancer recognition system. In this paper, the region of nucleus is extracted from an image of uterine cervical cytodiagnosis using the fuzzy grey morphology operation. The characteristics of the nucleus are extracted from the analysis of morphemetric features, densitometric features, colormetric features, and textural features based on the detected region of nucleus area. The classification criterion of a nucleus is defined according to the standard categories of the Bethesda system. The enhanced fuzzy ART algorithm is used to the extracted nucleus and the results show that the proposed method is efficient in nucleus recognition and uterine cervical Pap-Smears extraction.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.9
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• pp.4521-4524
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• 2012

Object: In the present study, we compared the positive cytodiagnostic test rates with discrepancies using self-collection devices for cervical cancer screening. We made this survey to examine whether or not our self-smear preparation method using the Kato self-collection device contributed to an improved rate of detecting atypical cells compared with existing recommended preparation methods. Methods: Specimens were collected at 14 facilities handling self-collection methods, and samples were collected by a physician in 2 facilities. The chisquared test was performed using the SPSS ver. 20 statistical software to determine the relationships between the positive cytodiagnostic rate, specimen preparation methods, and self-collection devices. Results: Collecting cells using the Kato self-collection device and preparing liquid-based specimens, we obtained a significantly higher rate of positive cytodiagnosis and our results were equal to those obtained with the direct method. Conclusions: Taking into consideration increased needs for screening using the self-collection method in future, with even more improved test accuracy, a screening test that is acceptable to society needs to be established.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.10
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• pp.1992-1998
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• 2007

It is important to obtain conn cytodiagnosis to classify background, cytoplasm, and nucleus from the diagnostic image. This study mose an algorithm that detects and classifies carcinoma cells of the uterine cervix in Pap smear using features of cervical cancer. It applies Median filter and Gaussian filter to get noise-removed nucleus area and also applies Kapur method in binarization of the resultant image. We apply 8-directional contour tracking algorithm and stretching technique to identify and revise clustered cells that often hinder to obtain correct analysis. The resulted nucleus area has distinguishable features such as cell size, integration rate, and directional coefficient from normal cells so that we can detect and classify carcinoma cells successfully. The experiment results show that the performance of the algorithm is competitive with human expert.

• Journal of Biomedical Engineering Research
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• v.12 no.2
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• pp.89-98
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• 1991

This study is concerned on the automation for cell diagnosis which has better objectivity and speed of test than human beings. Diagnosis is on the basis of shape change of abnormal Cells. Used parameters are nucleus area, nucleus perimeter, nucleus shape, cytoplasm area, nucleus/cytoplsm ratio, which was obtained using image processing technics. A new mode method is proposed on the automatic threshold selection for superior process time compared with Otsu's. Contour of the cytoplasm of abnormal cell is obtained using me- dian filter and sorel operator. The mask to get only original shape of abnormal cells is formed uslng the contour filling algorithm. In the result the normal cells are separated from the abnormal cells and the abnormal cells can be distinguished through screwing of abnormal cell's image with reference data to judge abnormal cells. Owing to this study the number of inspections which the pathologists should examine will be decreased and the time for inspection will be shortened.

• The Korean Journal of Cytopathology
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• v.5 no.2
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• pp.167-171
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• 1994

Small cell carcinoma of the urinary bladder is a rare tumor which occurs in about 0.48 % of all bladder tumors. We report cytologic features of small cell carcinoma of the urinary bladder in a 66-year-old man who had painless total gross hematuria, which was confirmed by partial cystectomy. In urine cytology, abundant tumor cells appeared in scattered and clustered forms in a bloody background. The tumor cells were small and uniform in size with a high nuclear/cytoplasmic ratio. The nuclei of the tumor cells were hyperchromatic, characteristically molded and showed inconspicuous nucleoli. The cytoplasms were scanty and pale blue.

• The Korean Journal of Cytopathology
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• v.7 no.2
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• pp.163-168
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• 1996

Abnormalities of p53 gene are common in lung cancers and are associated with immunologically detectable p53 protein. p53 immunoreactivity is uncommon in normal cells but is frequently seen in neoplasia. Therefore, assessment of p53 expression may assist in the cytological diagnosis of malignancy. The usefulness of p53 immunostaining as a marker of malignancy in the cytological analysis of bronchial brush specimens from the patients with lung cancers was investigated in this study. A total of 71 bronchial brush samples submitted for cytologic diagnosis were immunostained with D07, a monoclonal antibody to recombinant p53 protein. Resultant p53 data were correlated with cytologic diagnosis and clinical information. Of the 17 smears with a benign cytodiagnosis, all were p53 negative. Of the 40 cases with a malignant cytodiagnosis (histologically confirmed), 35 were p53 positive and 5 were negative. Of the 14 cases that were cytologically suspicious but nondiagnostic for malignancy, 11 were p53 positive, 9 of which were subsequently proved to be malignant by histologic examination, and the remaining 2 cases were tuberculosis clinically. Forty four of 51 histologically confirmed lung carcinomas were p53 positive, including 25 of 28 squamous cell carcinomas, 13 of 17 small cell carcinomas, 3 of 3 adenocarcinomas, and 3 of 3 large cell undifferentiated carcinomas. These results suggest that p53 immunostaining could be of value as a marker of malignancy in the cytologic examination of bronchial brush specimens. Furthermore, we have shown the possible clinical utility of p53 immunostaining in cytopathological diagnosis, that is, as a valuable adjunct to morphological assessment in the analysis of cytopathologically suspicious cases.

• The Korean Journal of Cytopathology
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• v.3 no.2
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• pp.37-51
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• 1992

The fine needle aspiration (FNA) cytology findings in 19 cases of primary neoplasia of the pancreas are reported. The aspirates were obtained under ultrasound guidance in 16 cases and under direct vision intraoperatively in three cases. These cases represented 79% of 24 diagnoses in a series of 30 pancreatic FNAs. Of these 30 cases no cytologic diagnoses were made in six cases (20%) because of insufficient or inadequate samples The cytologic diagnoses were confirmed by histologic examination following resection or biopsy of the tumors. The diagnoses included 9 duct ceil adenocarcinomas, 1 mucinous adenocarcinoma, 2 mucinous cystadenocarcinomas, 1 acinar cell carcinoma, 1 papillary cystic tumor 3 islet ceil tumors, 1 neuroendocrine carcinoma and 1 leiomyosarcoma. The cytologic features of the neoplasia were detailed and the differential diagnosis was discussed. The important criteria for the cytodiagnosis of pancreatic tumors were reviewed. This review leads us to think that nonoperative (percutaneous) cytologic approaches to the diagnosis of pancreatic tumor are advantageous for the management of patients, and that correct cytologic diagnosis with pancreatic FNAs can easily be made, if adequate samples are obtained.

• Proceedings of the KOSOMBE Conference
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• v.1990 no.11
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• pp.105-109
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• 1990

Nowadays, the amounts of cells and tissues in the field of pathology is being increased rapidly due to the increasing number of peoples and growing medical well fares. But, unfortunately the number of professional pathologist is not enough to deal with the great inspection amounts and there are several difficult problems in processing the inspections with naked eyes. To process a lot of inspections rapidly and solve difficults in inspections, the need of the inspection automation come appears. With this study the primarily cells and tissues can be sorted using image processing technics. As a result, the normal cells are separated from the abnormal cells and the abnormal cells can be distinguished through screening of abnormal cell's image with reference data to judge abnormal cells. Owing to this study the number of inspections which the pathologists should examine will be decreased and the time for inspection will be shortened.

• The Korean Journal of Cytopathology
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• v.5 no.2
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• pp.172-175
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• 1994

Anaplastic carcinoma of the thyroid is one of the most malignant tumors and survival for longer than three years after diagnosis is exceptional. Multinucleated giant cells of osteoclastlike appearance are seen un some of the anaplastic carcinoma, but only three cases in which the diagnosis was made by fine needle aspiration (FNA) cytology are reported in the international literature. We experienced a case of anaplastic carcinoma with osteoclastlike giant cells in a 66-yr-old female, diagnosed by FNA cytology. The smears revealed two cell populations: multinucleated giant cells and large polygonal or spindle shaped malignant cells. The FNA cytodiagnosis of anaplastic thyroid carcinoma containing osteoclastlike giant cells was substantiated by subsequent biopsy.