Objective Methods of 5-Aminolevulinic Acid-Based Endoscopic Photodynamic Diagnosis Using Artificial Intelligence for Identification of Gastric Tumors

Objective Methods of 5-Aminolevulinic Acid-Based Endoscopic Photodynamic Diagnosis Using Artificial Intelligence for Identification of Gastric Tumors

Positive diagnoses of gastric tumors from photodynamic diagnosis (PDD) images after the administration of 5-aminolevulinic acid are subjectively identified by expert endoscopists. Objective methods of tumor identification are needed to reduce potential misidentifications. We developed two methods to...

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Bibliographic Details
Main Authors: Taro Yamashita, Hiroki Kurumi, Masashi Fujii, Takuki Sakaguchi, Takeshi Hashimoto, Hidehito Kinoshita, Tsutomu Kanda, Takumi Onoyama, Yuichiro Ikebuchi, Akira Yoshida, Koichiro Kawaguchi, Kazuo Yashima, Hajime Isomoto
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Clinical Medicine
Subjects:
photodynamic diagnosis
5-aminolevulinic acid
LAB color space
neural network
Online Access:https://www.mdpi.com/2077-0383/11/11/3030

Internet

https://www.mdpi.com/2077-0383/11/11/3030

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