{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T19:41:13Z","timestamp":1697917273016},"reference-count":14,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":7749,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1986,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This paper describes a method of evaluating the difference in chromatin content of cervical cancer cells and normal cells by applying image processing techniques. Among the various methods for texture analysis, this paper adopts structural analysis to achieve high accuracy. The analysis procedure is as follows. (1) The location of chromatin is determined by extracting the pixel where the gray level is locally maximum. (2) The image is segmented by any of Volonoi neighborhood, area expansion by a difference direction, or directed tree. (3) Threshold processing is applied to the segmented subimages. (4) The size and gray level of the extracted areas are determined. A feature extraction experiment for the cell is perormed by the above procedure. From these results, the following observations are obtained. (i) The method of local maximum is useful in determining the chromatin location. (ii) The extraction can be improved by local thresholding. (iii) The mean, variance and mean gray level of the cell in the extracted chromatin area, as well as the mean and variance of the minimum distance among local maxima, are seen to be useful feature parameters in the discrimination of normal and malingnat chromatins.<\/jats:p>","DOI":"10.1002\/scj.4690170902","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T12:32:20Z","timestamp":1183811540000},"page":"11-19","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of the chromatin for cell images"],"prefix":"10.1002","volume":"17","author":[{"given":"Akira","family":"Kondo","sequence":"first","affiliation":[]},{"given":"Keiji","family":"Taniguchi","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","first-page":"11","article-title":"Medical image processing system","volume":"35","author":"Tsunekawa","year":"1981","journal-title":"TV Soc. Jap."},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0121-0_17"},{"key":"e_1_2_1_4_2","first-page":"33","article-title":"Algorithm for automatic discrimination of cervic cancer cells","volume":"76","author":"Suzuki","year":"1976","journal-title":"Papers of Technical Group on Pattern Recognition and Learning, I.E.C.E., Japan"},{"key":"e_1_2_1_5_2","unstructured":"R.SuzukiandS.Yamamoto. Automatic classificaton of uterine cancer cells utilizing the concept of cellular differentiationProc. of Fourth International Joint Conference on Pattern Recognition(1978)."},{"key":"e_1_2_1_6_2","volume-title":"Res. Rep. Automatic Biopsy System","author":"Sakai Y.","year":"1979"},{"key":"e_1_2_1_7_2","volume-title":"Biopsy and Its Applications, Pathol. Soc. Jap. (ed.) Pathol. Tech. Manual, No. 6","author":"Tajima","year":"1981"},{"key":"e_1_2_1_8_2","first-page":"2","article-title":"Automatic measurement of biological tissue microscopic image with texture recognition","volume":"61","author":"Ohtsuki","year":"1978","journal-title":"Trans. I.E.C.E., Japan"},{"key":"e_1_2_1_9_2","unstructured":"M.TuceryanandN.Ahuja. Segmentation of Dot Patterns Containing Homogeneous Clusters I.E.E.E. 6th Int. Conf. of Pattern Recognition pp.392\u2013394(1982)."},{"key":"e_1_2_1_10_2","volume-title":"Basis of Mathematical Logic","author":"Ozaki","year":"1980"},{"key":"e_1_2_1_11_2","first-page":"2","article-title":"Image Segmentation with Directed Trees","volume":"2","author":"Narendra P. M.","year":"1980","journal-title":"I.E.E.E. Trans. Pattern Anal. and Mach. Intell."},{"key":"e_1_2_1_12_2","volume-title":"Image Processing, Basis and Applications","author":"Ozaki","year":"1983"},{"key":"e_1_2_1_13_2","first-page":"7","article-title":"Classification of textures by structure analysis","volume":"61","author":"Tomita","year":"1978","journal-title":"Trans. I.E.C.E., Japan"},{"key":"e_1_2_1_14_2","article-title":"A method of chromatin evaluation in biopsy using local maximum","volume":"25","author":"Kondo A.","year":"1983","journal-title":"Joint. Conv. Elect. Inst. Hokuriku Chap."},{"key":"e_1_2_1_15_2","article-title":"A method of chromatin evaluation in biopsy by structure analysis","volume":"37","author":"Kondo A.","year":"1984","journal-title":"Joint. Conv. Elect. Inst. Hokuriku Chap."}],"container-title":["Systems and Computers in Japan"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fscj.4690170902","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/scj.4690170902","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T17:15:46Z","timestamp":1697822146000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/scj.4690170902"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1986,1]]},"references-count":14,"journal-issue":{"issue":"9","published-print":{"date-parts":[[1986,1]]}},"alternative-id":["10.1002\/scj.4690170902"],"URL":"https:\/\/doi.org\/10.1002\/scj.4690170902","archive":["Portico"],"relation":{},"ISSN":["0882-1666","1520-684X"],"issn-type":[{"value":"0882-1666","type":"print"},{"value":"1520-684X","type":"electronic"}],"subject":[],"published":{"date-parts":[[1986,1]]}}}