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 |
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, Valvano, Gabriele, Della Latta, Daniele, Martini, Nicola, Santini, Gianmarco, Gori, Andrea, Iacconi, Chiara, Ripoli, Andrea, Landini, Luigi, Chiappino, Dante |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 33% |
Student > Ph. D. Student | 3 | 17% |
Student > Postgraduate | 2 | 11% |
Other | 1 | 6% |
Unspecified | 1 | 6% |
Other | 2 | 11% |
Unknown | 3 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 28% |
Engineering | 5 | 28% |
Medicine and Dentistry | 2 | 11% |
Unspecified | 1 | 6% |
Chemical Engineering | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 22% |