Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histo...
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging
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Oxford: Elsevier Ltd
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Language
English
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Oxford: Elsevier Ltd
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AbstractBackgroundBarrett's esophagus (BE) is a precursor lesion of esophageal adenocarcinoma and may progress from non-dysplastic through low-grade dysplasia (LGD) to high-grade dysplasia (HGD) and cancer. Grading BE is of crucial prognostic value and is currently based on the subjective evaluation of biopsies. This study aims to investigate the p...
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Full title
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging
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TN_cdi_proquest_journals_2586978755
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2586978755
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ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2021.104918
