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Electrical Engineering and Systems Science > Image and Video Processing

arXiv:2309.07175 (eess)
[Submitted on 12 Sep 2023]

Title:MELAGE: A purely python based Neuroimaging software (Neonatal)

Authors:Bahram Jafrasteh, Simón Pedro Lubián López, Isabel Benavente Fernández
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Abstract: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.
Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Applications (stat.AP); Computation (stat.CO)
Cite as: arXiv:2309.07175 [eess.IV]
  (or arXiv:2309.07175v1 [eess.IV] for this version)
  https://doi.org/10.48550/arXiv.2309.07175

Submission history

From: Bahram Jafrasteh [view email]
[v1] Tue, 12 Sep 2023 19:54:35 UTC (6,353 KB)
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