Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian Cancer.
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ABSTRACT:
SUBMITTER: Tanabe K
PROVIDER: S-EPMC7563497 | biostudies-literature | 2020 Aug
REPOSITORIES: biostudies-literature
Publications
Comprehensive Serum Glycopeptide Spectra Analysis Combined with Artificial Intelligence (CSGSA-AI) to Diagnose Early-Stage Ovarian Cancer.
Tanabe Kazuhiro K Ikeda Masae M Hayashi Masaru M Matsuo Koji K Yasaka Miwa M Machida Hiroko H Shida Masako M Katahira Tomoko T Imanishi Tadashi T Hirasawa Takeshi T Sato Kenji K Yoshida Hiroshi H Mikami Mikio M
Cancers 20200821 9
Ovarian cancer is a leading cause of deaths among gynecological cancers, and a method to detect early-stage epithelial ovarian cancer (EOC) is urgently needed. We aimed to develop an artificial intelligence (AI)-based comprehensive serum glycopeptide spectra analysis (CSGSA-AI) method in combination with convolutional neural network (CNN) to detect aberrant glycans in serum samples of patients with EOC. We converted serum glycopeptide expression patterns into two-dimensional (2D) barcodes to let ...[more]
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