Neural Network Classification of Blood Vessels and Tubules Based on Haralick Features Evaluated in Histological Images of Kidney Biopsy

被引：3

作者：

Bevilacqua, Vitoantonio ^{[1
]}

Pietroleonardo, Nicola ^{[1
,2
]}

Triggiani, Vito ^{[1
,2
]}

Gesualdo, Loreto ^{[2
]}

Di Palma, Anna Maria ^{[2
]}

Rossini, Michele ^{[2
]}

Dalfino, Giuseppe ^{[2
]}

Mastrofilippo, Nico ^{[2
]}

机构：

[1] Politecn Bari, Dipartimento Ingn Elettr & Informaz, Bari, Italy

[2] Univ Bari Aldo Moro, Dept Emergency & Organ Transplantat, Nephrol Unit, Bari, Italy

来源：

ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, ICIC 2015, PT III | 2015年 / 9227卷

关键词：

Computer aided diagnosis; Neural network; Image segmentation; Vessels; Histological image; Haralick features;

D O I：

10.1007/978-3-319-22053-6_81

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a Computer Aided Diagnosis that implements a supervised approach to discriminate vessels versus tubules that are two different types of structural elements in images of biopsy tissue. In particular, in this work we formerly describe an innovative preliminary step to segment region of interest, then the procedure to extract from them significant features and finally present and discuss the Back Propagation Neural Network binary classifier performance that shows Precision 91 % and Recall 91 %.

引用

页码：759 / 765

页数：7

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