Automatic skull segmentation of MRI volume, a deep learning model trained on synthetic data
The neuro-imaging community has focus on brain, and therefore the first preprocessing step is often to perform a brain mask, throwing out everything outside the brain. There is then a lack of tool for segmenting the skull, which is a tissue of interest for Paleoanthropology. We propose in this work...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | URI:https://journals.openedition.org/bmsap, |
|---|---|
| Κύριοι συγγραφείς: | Valabregue, Romain, Didier, Mélanie, Santin, Mathieu, Bardinet, Éric, Giolland, Victor, Balzeau, Antoine |
| Μορφή: | Article ou chapitre numérique |
| Γλώσσα: | gb |
| Έκδοση: |
Bulletins et mémoires de la société d’anthropologie de Paris
2025
|
| Διαθέσιμο Online: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
Παρόμοια τεκμήρια
-
Brain Tumor MRI Image Segmentation Using Deep Learning Techniques
(Livre numérique)
Chaki, Jyotismita
Elsevier Science, 2021 -
Automatic detection of Ellerman bombs using deep learning
(Article ou chapitre numérique)
I. J. Soler Poquet, κ.ά.
EDP Sciences, 2025 -
Synthetic Aperture Radar (SAR) Meets Deep Learning
(Livre numérique)
MDPI - Multidisciplinary Digital Publishing Institute, 2023 -
Deep Learning Approach for Semantic Segmentation of Pathological Images
(Thèse numérique)
Feng, Yanbo, 1992-
, 2022 -
Deep Learning for Automatic Image Captioning in Poor Training Conditions
(Article ou chapitre numérique)
Masotti, Caterina, κ.ά.
IJCoL, 2020