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Mendeley readers
Chapter title |
Evaluation of a Deep Convolutional Neural Network method for the segmentation of breast microcalcifications in Mammography Imaging
|
---|---|
Chapter number | 110 |
Book title |
EMBEC & NBC 2017
|
Published in |
IFMBE proceedings, June 2017
|
DOI | 10.1007/978-981-10-5122-7_110 |
Book ISBNs |
978-9-81-105121-0, 978-9-81-105122-7
|
Authors |
Gabriele Valvano, Daniele Della Latta, Nicola Martini, Gianmarco Santini, Andrea Gori, Carla Iacconi, Andrea Ripoli, Luigi Landini, Dante Chiappino, Chiara Iacconi |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 38% |
Student > Ph. D. Student | 3 | 19% |
Student > Postgraduate | 2 | 13% |
Other | 1 | 6% |
Researcher | 1 | 6% |
Other | 1 | 6% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 31% |
Engineering | 5 | 31% |
Medicine and Dentistry | 2 | 13% |
Chemical Engineering | 1 | 6% |
Unknown | 3 | 19% |