Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images
المؤلفون المشاركون
Yamashita, Yoshiko
Kiyuna, Tomoharu
Hashiguchi, Akinori
Murakami, Yuri
Yamaguchi, Masahiro
Sakamoto, Michiie
Ishikawa, Masahiro
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-2، 2ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-12-30
دولة النشر
مصر
عدد الصفحات
2
التخصصات الرئيسية
الملخص EN
The advent of new digital imaging technologies including high-throughput slide scanners is making a very compelling case as part of the clinical workflow.
Tools developed for morphometric image analysis are accelerating the transition of pathology into a more quantitative science.
The system for detection of regions suspected to be cancerous in gastric and colorectal tissue is already available.
There is a real need for not only cancer detection but also quantification of histological features, because quantitative morphological characteristics can include important diagnostic and prognostic information.
If an association between quantitative features and clinical findings is indicated, quantification of morphological features would be extremely useful to select the best treatment.
Image measurement technology also has the potential for investigative pathology.
We have developed a prototype system for both quantification of morphological features and automated identification of hepatocellular carcinoma (HCC) within whole slide images (WSI) of liver biopsy based on image recognition and measurement techniques.
Our system displays quantified cell and tissue features as histogram, bar graph, and heat map on the screen.
Displaying all features in such a unified visualization makes it easy to interpret quantitative feature.
In this paper, we present a prototype designed specifically for morphological feature visualization in an easy-to-understand manner.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yamashita, Yoshiko& Kiyuna, Tomoharu& Sakamoto, Michiie& Hashiguchi, Akinori& Ishikawa, Masahiro& Murakami, Yuri…[et al.]. 2014. Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images. Analytical Cellular Pathology،Vol. 2014, no. 2014, pp.1-2.
https://search.emarefa.net/detail/BIM-1034186
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yamashita, Yoshiko…[et al.]. Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images. Analytical Cellular Pathology No. 2014 (2014), pp.1-2.
https://search.emarefa.net/detail/BIM-1034186
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yamashita, Yoshiko& Kiyuna, Tomoharu& Sakamoto, Michiie& Hashiguchi, Akinori& Ishikawa, Masahiro& Murakami, Yuri…[et al.]. Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images. Analytical Cellular Pathology. 2014. Vol. 2014, no. 2014, pp.1-2.
https://search.emarefa.net/detail/BIM-1034186
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034186
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر