An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences
| dc.contributor.author | Matthieu Coupet | |
| dc.contributor.author | Thierry Urruty | |
| dc.contributor.author | Teerapong Leelanupab | |
| dc.contributor.author | Mathieu Naudin | |
| dc.contributor.author | Pascal Bourdon | |
| dc.contributor.author | Christine Fernandez-Maloigne | |
| dc.contributor.author | R�my Guillevin | |
| dc.date.accessioned | 2025-07-21T06:02:41Z | |
| dc.date.issued | 2020-01-01 | |
| dc.identifier.doi | 10.1007/978-3-030-63830-6_10 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/8984 | |
| dc.subject | Interpretability | |
| dc.subject | Modalities | |
| dc.subject | Modality (human�computer interaction) | |
| dc.subject.classification | Brain Tumor Detection and Classification | |
| dc.title | An Empirical Study of Deep Neural Networks for Glioma Detection from MRI Sequences | |
| dc.type | Book chapter |