Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285156784> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4285156784 endingPage "276" @default.
- W4285156784 startingPage "263" @default.
- W4285156784 abstract "A subset of machine learning is called Deep Learning (DL). Due to its intelligent behavior, it is used in various applications like speech recognition, face recognition, detection of an image, Natural Language Processing (NLP), analysis of video images, etc. Medical image processing is one of the significant area where deep learning network performance is proved outstanding. DL is used in image classification, dimensionality reduction, feature learning, detection, etc. The large volume of image data is processed and analyzed to predict disease is absent/present. In 2019, the COVID-19 virus was detected and started spreading through the community transmission rapidly, and several people lost their lives due to lack of treatment. Almost all hospitals all over the countries were overloaded heavily, and the Medical Health Care System was affected significantly. To fight against such a tough time, many researchers put their efforts day and night into designing effective deep learning models that can accurately speed up the COVID-19 viral diagnosis process. With this knowledge, a review of various deep learning algorithms and techniques for diagnosing Covid-19 cases is presented in this paper. It starts with the introduction of deep learning, its architecture, and different deep learning algorithms used to diagnose COVID-19 cases with key issues and challenges that significantly impact the detection of COVID-19 cases." @default.
- W4285156784 created "2022-07-14" @default.
- W4285156784 creator A5051261726 @default.
- W4285156784 creator A5092301417 @default.
- W4285156784 date "2022-01-01" @default.
- W4285156784 modified "2023-09-30" @default.
- W4285156784 title "Advancement of Deep Learning and Its Substantial Impact on the Diagnosis of COVID-19 Cases" @default.
- W4285156784 cites W1991135330 @default.
- W4285156784 cites W2025525505 @default.
- W4285156784 cites W2062227835 @default.
- W4285156784 cites W2100495367 @default.
- W4285156784 cites W2108563286 @default.
- W4285156784 cites W2108598243 @default.
- W4285156784 cites W2112796928 @default.
- W4285156784 cites W2136922672 @default.
- W4285156784 cites W2755624598 @default.
- W4285156784 cites W2766736793 @default.
- W4285156784 cites W2791242285 @default.
- W4285156784 cites W2896348597 @default.
- W4285156784 cites W2947411064 @default.
- W4285156784 cites W2958150439 @default.
- W4285156784 cites W3011414569 @default.
- W4285156784 cites W3013760565 @default.
- W4285156784 cites W3014924062 @default.
- W4285156784 cites W3016912206 @default.
- W4285156784 cites W3017644243 @default.
- W4285156784 cites W3023559662 @default.
- W4285156784 cites W3026931681 @default.
- W4285156784 cites W3027764902 @default.
- W4285156784 cites W3028427008 @default.
- W4285156784 cites W3037538421 @default.
- W4285156784 cites W3038744550 @default.
- W4285156784 cites W3040660552 @default.
- W4285156784 cites W3105777051 @default.
- W4285156784 cites W3124164992 @default.
- W4285156784 cites W3156342878 @default.
- W4285156784 doi "https://doi.org/10.1007/978-981-19-2719-5_25" @default.
- W4285156784 hasPublicationYear "2022" @default.
- W4285156784 type Work @default.
- W4285156784 citedByCount "0" @default.
- W4285156784 crossrefType "book-chapter" @default.
- W4285156784 hasAuthorship W4285156784A5051261726 @default.
- W4285156784 hasAuthorship W4285156784A5092301417 @default.
- W4285156784 hasConcept C108583219 @default.
- W4285156784 hasConcept C111919701 @default.
- W4285156784 hasConcept C119857082 @default.
- W4285156784 hasConcept C142724271 @default.
- W4285156784 hasConcept C154945302 @default.
- W4285156784 hasConcept C2779134260 @default.
- W4285156784 hasConcept C3008058167 @default.
- W4285156784 hasConcept C41008148 @default.
- W4285156784 hasConcept C524204448 @default.
- W4285156784 hasConcept C70518039 @default.
- W4285156784 hasConcept C71924100 @default.
- W4285156784 hasConcept C98045186 @default.
- W4285156784 hasConceptScore W4285156784C108583219 @default.
- W4285156784 hasConceptScore W4285156784C111919701 @default.
- W4285156784 hasConceptScore W4285156784C119857082 @default.
- W4285156784 hasConceptScore W4285156784C142724271 @default.
- W4285156784 hasConceptScore W4285156784C154945302 @default.
- W4285156784 hasConceptScore W4285156784C2779134260 @default.
- W4285156784 hasConceptScore W4285156784C3008058167 @default.
- W4285156784 hasConceptScore W4285156784C41008148 @default.
- W4285156784 hasConceptScore W4285156784C524204448 @default.
- W4285156784 hasConceptScore W4285156784C70518039 @default.
- W4285156784 hasConceptScore W4285156784C71924100 @default.
- W4285156784 hasConceptScore W4285156784C98045186 @default.
- W4285156784 hasLocation W42851567841 @default.
- W4285156784 hasOpenAccess W4285156784 @default.
- W4285156784 hasPrimaryLocation W42851567841 @default.
- W4285156784 hasRelatedWork W2922457425 @default.
- W4285156784 hasRelatedWork W3014300295 @default.
- W4285156784 hasRelatedWork W3164822677 @default.
- W4285156784 hasRelatedWork W4223943233 @default.
- W4285156784 hasRelatedWork W4225161397 @default.
- W4285156784 hasRelatedWork W4250304930 @default.
- W4285156784 hasRelatedWork W4309045103 @default.
- W4285156784 hasRelatedWork W4312200629 @default.
- W4285156784 hasRelatedWork W4360585206 @default.
- W4285156784 hasRelatedWork W4364306694 @default.
- W4285156784 isParatext "false" @default.
- W4285156784 isRetracted "false" @default.
- W4285156784 workType "book-chapter" @default.