Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines
| Autor: | Sandy Napel, Daniel L. Rubin, Sarah A. Mattonen, Shaimaa Bakr, Dev Gude, Sebastian Echegaray |
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| Rok vydání: | 2020 |
| Předmět: |
Paper
Information retrieval business.industry feature extraction Interface (computing) Feature extraction processing pipeline Image processing Image segmentation Pipeline (software) 030218 nuclear medicine & medical imaging 03 medical and health sciences Upload machine learning 0302 clinical medicine Special Section on Virtual Clinical Trials radiomics Feature (computer vision) 030220 oncology & carcinogenesis Medicine Radiology Nuclear Medicine and imaging business medical image analysis Graphical user interface |
| Zdroj: | Journal of Medical Imaging |
| ISSN: | 2329-4302 |
| DOI: | 10.1117/1.jmi.7.4.042803 |
| Popis: | Quantitative image features that can be computed from medical images are proving to be valuable biomarkers of underlying cancer biology that can be used for assessing treatment response and predicting clinical outcomes. However, validation and eventual clinical implementation of these tools is challenging due to the absence of shared software algorithms, architectures, and the tools required for computing, comparing, evaluating, and disseminating predictive models. Similarly, researchers need to have programming expertise in order to complete these tasks. The quantitative image feature pipeline (QIFP) is an open-source, web-based, graphical user interface (GUI) of configurable quantitative image-processing pipelines for both planar (two-dimensional) and volumetric (three-dimensional) medical images. This allows researchers and clinicians a GUI-driven approach to process and analyze images, without having to write any software code. The QIFP allows users to upload a repository of linked imaging, segmentation, and clinical data or access publicly available datasets (e.g., The Cancer Imaging Archive) through direct links. Researchers have access to a library of file conversion, segmentation, quantitative image feature extraction, and machine learning algorithms. An interface is also provided to allow users to upload their own algorithms in Docker containers. The QIFP gives researchers the tools and infrastructure for the assessment and development of new imaging biomarkers and the ability to use them for single and multicenter clinical and virtual clinical trials. |
| Databáze: | OpenAIRE |
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