The lack of publicly available datasets of computed-tomography angiography (CTA) images for pulmonary embolism (PE) is quite a problem felt by physicians and researchers. Although a number of computer-aided detection (CAD) systems were have been developed for PE diagnosis, their performance was is often evaluated by using some 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 totally, 8792 slices in total. For each benchmark image, two expert radiologists experts provided the ground-truth with the advantage 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 locating 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 of associated with PE. We also reported some complementary prognosis information for each subject.

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