Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods Subject The topic of the resource Computed tomography; Convolutional neural network; Deep learning; Pulmonary embolism Description An account of the resource Medical imaging has been evolving at a steady pace generating enormous amounts of health data, and the use of deep learning (DL) has helped a great deal in processing the detailed data. Deep learning-based methods are used in different medical imaging tasks to detect and diagnose diseases. For example, medical imaging is used to diagnose pulmonary embolism (PE), a commonly occurring cardiovascular disease with high mortality and prevalence and a low diagnosis rate. According to medical experts, PE has resulted in many deaths because of missed diagnoses for the medical condition. Another critical aspect of the disease is the possibility of permanent lung damage if left untreated. The use of deep learning methods in medical imaging is attributed to their ability to use learning-based methods to process enormous amounts of data. However, there are some unique challenges in the detection of PE. PE is not specific in its clinical presentation and is easily ignored, making it difficult to diagnose. Deep learning-based detection methods help a great deal in the disease detection in miniature sub-branches of the alveoli, and images with noisy artifacts easily compared to manual diagnosis. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Das M.P.; Rohini V. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-317, pp. 349-360. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-6068-0_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6068-0_34</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007743&amp;doi=10.1007%2F978-981-19-6068-0_34&amp;partnerID=40&amp;md5=29f4ed49bb513fb3d4fc6e4952053e68" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145007743&amp;doi=10.1007%2f978-981-19-6068-0_34&amp;partnerID=40&amp;md5=29f4ed49bb513fb3d4fc6e4952053e68</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981196067-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Das M.P., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Rohini V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India