GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointesti...
GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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In the last few years, artificial intelligence has shown a lot of promise in the medical domain for the diagnosis and classification of human infections. Several computerized techniques based on artificial intelligence (AI) have been introduced in the literature for gastrointestinal (GIT) diseases such as ulcer, bleeding, polyp, and a few others. M...
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GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification
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TN_cdi_doaj_primary_oai_doaj_org_article_461e2635f5c4479cadc49549a246a8ae
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_461e2635f5c4479cadc49549a246a8ae
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics12112718
