A new dataset of computed-tomography angiography images for computer-aided detection of pulmonary embolism
| Autor: | Mahdi Saadatmand-Tarzjan, Fateme Shafiee Zargar, Noushin Eftekhari, Masoud Pezeshki Rad, Mojtaba Masoudi, Hamid Reza Pourreza |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Data Descriptor medicine.medical_specialty Computed Tomography Angiography Computer science Embolism Image processing CAD 030204 cardiovascular system & hematology Library and Information Sciences Sensitivity and Specificity 030218 nuclear medicine & medical imaging Education 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Software Image Processing Computer-Assisted medicine Humans Medical physics Computed tomography angiography medicine.diagnostic_test business.industry medicine.disease Computer aided detection Pulmonary embolism Computer Science Applications Angiography Benchmark (computing) Statistics Probability and Uncertainty Pulmonary Embolism business Biomedical engineering Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/sdata.2018.180 |
| Popis: | The lack of publicly available datasets of computed-tomography angiography (CTA) images for pulmonary embolism (PE) is a problem felt by physicians and researchers. Although a number of computer-aided detection (CAD) systems have been developed for PE diagnosis, their performance is often evaluated using private datasets. In this paper, we introduce a new public dataset called FUMPE (standing for Ferdowsi University of Mashhad's PE dataset) which consists of three-dimensional PE-CTA images of 35 different subjects with 8792 slices in total. For each benchmark image, two expert radiologists provided the ground-truth with the assistance of a semi-automated image processing software tool. FUMPE is a challenging benchmark for CAD methods because of the large number (i.e., 3438) of PE regions and, more especially, because of the location of most of them (i.e., 67%) in lung peripheral arteries. Moreover, due to the reporting of the Qanadli score for each PE-CTA image, FUMPE is the first public dataset which can be used for the analysis of mortality and morbidity risks associated with PE. We also report some complementary prognosis information for each subject. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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