Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging Article Swipe
Chiara Camastra
,
Giovanni Pasini
,
Alessandro Stefano
,
G. Russo
,
Basilio Vescio
,
Fabiano Bini
,
Franco Marinozzi
,
Antonio Augimeri
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jimaging10040096
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jimaging10040096
Radiomics represents an innovative approach to medical image analysis, enabling comprehensive quantitative evaluation of radiological images through advanced image processing and Machine or Deep Learning algorithms. This technique uncovers intricate data patterns beyond human visual detection. Traditionally, executing a radiomic pipeline involves multiple standardized phases across several software platforms. This could represent a limit that was overcome thanks to the development of the matRadiomics application. MatRadiomics, a freely available, IBSI-compliant tool, features its intuitive Graphical User Interface (GUI), facilitating the entire radiomics workflow from DICOM image importation to segmentation, feature selection and extraction, and Machine Learning model construction. In this project, an extension of matRadiomics was developed to support the importation of brain MRI images and segmentations in NIfTI format, thus extending its applicability to neuroimaging. This enhancement allows for the seamless execution of radiomic pipelines within matRadiomics, offering substantial advantages to the realm of neuroimaging.
Related Topics
Concepts
Computer science
Workflow
DICOM
Neuroimaging
Pipeline (software)
Artificial intelligence
Software
Graphical user interface
Radiomics
Medical imaging
Segmentation
Deep learning
Image processing
Visualization
Machine learning
Software engineering
Image (mathematics)
Database
Programming language
Psychiatry
Psychology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jimaging10040096
- https://www.mdpi.com/2313-433X/10/4/96/pdf?version=1713799512
- OA Status
- gold
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394995861
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4394995861Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jimaging10040096Digital Object Identifier
- Title
-
Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in NeuroimagingWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-04-22Full publication date if available
- Authors
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Chiara Camastra, Giovanni Pasini, Alessandro Stefano, G. Russo, Basilio Vescio, Fabiano Bini, Franco Marinozzi, Antonio AugimeriList of authors in order
- Landing page
-
https://doi.org/10.3390/jimaging10040096Publisher landing page
- PDF URL
-
https://www.mdpi.com/2313-433X/10/4/96/pdf?version=1713799512Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2313-433X/10/4/96/pdf?version=1713799512Direct OA link when available
- Concepts
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Computer science, Workflow, DICOM, Neuroimaging, Pipeline (software), Artificial intelligence, Software, Graphical user interface, Radiomics, Medical imaging, Segmentation, Deep learning, Image processing, Visualization, Machine learning, Software engineering, Image (mathematics), Database, Programming language, Psychiatry, PsychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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