دورية أكاديمية

Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility

التفاصيل البيبلوغرافية
العنوان: Image Analysis Based Grading of Bladder Carcinoma. Comparison of Object, Texture and Graph Based Methods and Their Reproducibility
المؤلفون: Heung‐Kook Choi, Torsten Jarkrans, Ewert Bengtsson, Janos Vasko, Kenneth Wester, Per-Uno Malmström, Christer Busch
المصدر: Analytical Cellular Pathology, Vol 15, Iss 1, Pp 1-18 (1997)
بيانات النشر: Hindawi Limited, 1997.
سنة النشر: 1997
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
LCC:Cytology
مصطلحات موضوعية: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
الوصف: The possibility that computerized image analysis could increase the reproducibility of grading of bladder carcinoma as compared to conventional subjective grading made by pathologists was investigated. Object, texture and graph based analysis were carried out from Feulgen stained histological tissue sections. The object based features were extracted from gray scale images, binary images obtained by thresholding the nuclei and several other images derived through image processing operations. The textural features were based on the spatial gray‐tone co‐occurrence probability matrices and the graph based features were extracted from the minimum spanning trees connecting all nuclei. The large numbers of extracted features were evaluated in relation to subjective grading and to factors related to prognosis using multivariate statistical methods and multilayer backpropagation neural networks. All the methods were originally developed and tested on material from one patient and then tested for reproducibility on entirely different patient material. The results indicate reasonably good reproducibility for the best sets of features. In addition, image analysis based grading showed almost identical correlation to mitotic density and expression of p53 protein as subjective grading. It should thus be possible to use this kind of image analysis as a prognostic tool for bladder carcinoma.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 0921-8912
1878-3651
Relation: https://doaj.org/toc/0921-8912; https://doaj.org/toc/1878-3651
DOI: 10.1155/1997/147187
URL الوصول: https://doaj.org/article/65f5e5e9f5794c92b27d6b3619ac920d
رقم الأكسشن: edsdoj.65f5e5e9f5794c92b27d6b3619ac920d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:09218912
18783651
DOI:10.1155/1997/147187