You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
An Innovative Neural Network Framework for Glomerulus Classification Based on Morphological and Texture Features Evaluated in Histological Images of Kidney Biopsy
|
---|---|
Chapter number | 66 |
Book title |
Intelligent Computing Methodologies
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-26766-7_66 |
Book ISBNs |
978-3-03-026765-0, 978-3-03-026766-7
|
Authors |
Giacomo Donato Cascarano, Francesco Saverio Debitonto, Ruggero Lemma, Antonio Brunetti, Domenico Buongiorno, Irio De Feudis, Andrea Guerriero, Michele Rossini, Francesco Pesce, Loreto Gesualdo, Vitoantonio Bevilacqua, Cascarano, Giacomo Donato, Debitonto, Francesco Saverio, Lemma, Ruggero, Brunetti, Antonio, Buongiorno, Domenico, De Feudis, Irio, Guerriero, Andrea, Rossini, Michele, Pesce, Francesco, Gesualdo, Loreto, Bevilacqua, Vitoantonio |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 13% |
Researcher | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Student > Master | 1 | 7% |
Other | 1 | 7% |
Unknown | 6 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 33% |
Engineering | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Immunology and Microbiology | 1 | 7% |
Unknown | 5 | 33% |