Name
Title | ||
|---|---|---|
Neural Network Classification of Blood Vessels and Tubules Based on Haralick Features Evaluated in Histological Images of Kidney Biopsy. |
Abstract | ||
|---|---|---|
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 %. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-22053-6_81 | ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, ICIC 2015, PT III |
Keywords | Field | DocType |
Computer aided diagnosis,Neural network,Image segmentation,Vessels,Histological image,Haralick features | Neural network classification,Binary classification,Pattern recognition,Computer science,Computer-aided diagnosis,Back propagation neural network,Biopsy,Image segmentation,Artificial intelligence,Region of interest,Artificial neural network | Conference |
Volume | ISSN | Citations |
9227 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 1 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitoantonio Bevilacqua | 1 | 468 | 66.40 |
| Nicola Pietroleonardo | 2 | 7 | 1.47 |
| Vito Triggiani | 3 | 6 | 0.78 |
| Loreto Gesualdo | 4 | 8 | 3.30 |
| Annamaria Di Palma | 5 | 6 | 0.78 |
| Michele Rossini | 6 | 6 | 1.45 |
| Giuseppe Dalfino | 7 | 2 | 0.39 |
| Nico Mastrofilippo | 8 | 2 | 0.39 |