تقرير
MELAGE: A purely python based Neuroimaging software (Neonatal)
| العنوان: | MELAGE: A purely python based Neuroimaging software (Neonatal) |
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| المؤلفون: | Jafrasteh, Bahram, López, Simón Pedro Lubián, Fernández, Isabel Benavente |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning, Statistics - Applications, Statistics - Computation |
| الوصف: | MELAGE, a pioneering Python-based neuroimaging software, emerges as a versatile tool for the visualization, processing, and analysis of medical images. Initially conceived to address the unique challenges of processing 3D ultrasound and MRI brain images during the neonatal period, MELAGE exhibits remarkable adaptability, extending its utility to the domain of adult human brain imaging. At its core, MELAGE features a semi-automatic brain extraction tool empowered by a deep learning module, ensuring precise and efficient brain structure extraction from MRI and 3D Ultrasound data. Moreover, MELAGE offers a comprehensive suite of features, encompassing dynamic 3D visualization, accurate measurements, and interactive image segmentation. This transformative software holds immense promise for researchers and clinicians, offering streamlined image analysis, seamless integration with deep learning algorithms, and broad applicability in the realm of medical imaging. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2309.07175 |
| رقم الأكسشن: | edsarx.2309.07175 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |