Titlebook: Immunohistochemistry: Basics and Methods; Igor B. Buchwalow,Werner Böcker Book 2010 Springer-Verlag Berlin Heidelberg 2010 Antibodies.Anti

Coarctation

书目名称Immunohistochemistry: Basics and Methods影响因子(影响力)




书目名称Immunohistochemistry: Basics and Methods影响因子(影响力)学科排名




书目名称Immunohistochemistry: Basics and Methods网络公开度




书目名称Immunohistochemistry: Basics and Methods网络公开度学科排名




书目名称Immunohistochemistry: Basics and Methods被引频次




书目名称Immunohistochemistry: Basics and Methods被引频次学科排名




书目名称Immunohistochemistry: Basics and Methods年度引用




书目名称Immunohistochemistry: Basics and Methods年度引用学科排名




书目名称Immunohistochemistry: Basics and Methods读者反馈




书目名称Immunohistochemistry: Basics and Methods读者反馈学科排名

INERT

Igor B. Buchwalow,Werner Böckernificance because, as has been stated frequently, the possibility of developing breast cancer is increased if the breast tissue is of high density. Radiologists predict breast tissue density by visually examining the mammogram, and the accuracy of this diagnosis is solely dependent on the experience

全能

Igor B. Buchwalow,Werner Böckerh report, nearly 100,000 women succumb to cervical cancer in India annually. Manual detection of cervical cancer becomes less effective due to subjective analysis, labor-intensive methods and time consumption. Hence, there arises the need for an automated system for cervical cancer detection. Even t

Cerebrovascular

Igor B. Buchwalow,Werner Böckerve been designed for the identification of plants and detection of their diseases in order to meet the new challenges facing farmers and their learning needs. This chapter provides an overview of various methods and techniques for feature extraction, segmentation and the classification of patterns o

抗生素

orient

过度

Igor B. Buchwalow,Werner Böcker, the image patches are classified into three groups: nucleus, cytoplasm and background. The SVM classifier is then used to indicate the patient status as normal or abnormal. A supervised deep learning network is trained with 40% of nucleus, 40% of cytoplasm and 20% of background information. The ne

GLUT

Exonerate

Background Staining, Autofluorescence and Blocking Steps,

有角