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LNDetector
About the Project
Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images
The goal of project LNDetector is to automatically detect, segment and classify nodules in chest CT scans. The idea is to create a working prototype of a Computer-aided diagnosis (CAD) system for lung nodule diagnosis to be installed in a radiology department. The prototype includes three main modules for nodule detection, segmentation and diagnosis. Furthermore, an anonymised and annotated CT image database will be created with a large diversity of nodules with different sizes, positions, shapes and texture features. The joint collaborative research with a major Radiology Department creates an excellent cooperation opportunity between Engineering and Medicine.
Acronym
LNDetector
Responsible
Aurélio Campilho
Status
Closed
Starting Date
January 1, 2016
Ending Date
January 30, 2019
Effective End Date
January 30, 2019
Global Budget
€198,189.00
Funding
€164,589.00
Website
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Datasheet
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Dissemination
INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.
