Objective Assessment of the Utility of Chromoendoscopy with a Support Vector Machine

PURPOSE: The utility of chromoendoscopy for early gastric cancer (GC) was determined by machine learning using data of color differences. METHODS: Eighteen histopathologically confirmed early GC lesions were examined. We prepared images from white light endoscopy (WL), indigo carmine (Indigo), and a...

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Detalles Bibliográficos
Autores principales: Ogawa, Ryo, Nishikawa, Jun, Hideura, Eizaburo, Goto, Atsushi, Koto, Yurika, Ito, Shunsuke, Unno, Madoka, Yamaoka, Yuko, Kawasato, Ryo, Hashimoto, Shinichi, Okamoto, Takeshi, Ogihara, Hiroyuki, Hamamoto, Yoshihiko, Sakaida, Isao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675770/
https://www.ncbi.nlm.nih.gov/pubmed/29504086
http://dx.doi.org/10.1007/s12029-018-0083-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675770/
https://www.ncbi.nlm.nih.gov/pubmed/29504086
http://dx.doi.org/10.1007/s12029-018-0083-6

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