Name
Title | ||
|---|---|---|
An Advanced Tool for Semi-automatic Annotation for Early Screening of Neurodevelopmental Disorders |
Abstract | ||
|---|---|---|
Non-invasive solutions (no sensors nor markers) appear the most appealing for assessment of body movements and facial dynamics in order to predict Neurodevelopmental disorders (NDD) even in the first days of life. To this aim, recent advances in machine learning applied could be effectively exploited on visual data framing the children, but they suffer from the scarcity of annotated data for training the algorithms. In order to fill this gap, in this paper, a semi-automatic tool specifically designed for labelling videos of children in cribs is introduced. It consists of a Graphical User Interface allowing to select: 1) videos, or static images, to be processed and 2) the desired annotation goal achieved by state-of-the-art deep learning based neural architectures. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/978-3-031-13324-4_14 | Image Analysis and Processing. ICIAP 2022 Workshops |
DocType | Volume | ISSN |
Conference | 13374 | 0302-9743 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernava Giuseppe Massimo | 1 | 0 | 0.34 |
| Leo Marco | 2 | 0 | 0.34 |
| Carcagnì Pierluigi | 3 | 0 | 0.34 |
| Cosimo Distante | 4 | 53 | 15.36 |