Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band imaging
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band imaging
Authors
Keywords
-
Journal
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2020-07-18
DOI
10.1111/jgh.15190
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging
- (2019) Lan Li et al. Gastric Cancer
- Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging
- (2019) Yusuke Horiuchi et al. DIGESTIVE DISEASES AND SCIENCES
- Usefulness of Demarcation of Differentiated-Type Early Gastric Cancers after Helicobacter pylori Eradication by Magnifying Endoscopy with Narrow-Band Imaging
- (2018) Yoichi Akazawa et al. DIGESTION
- Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
- (2018) Toshiaki Hirasawa et al. Gastric Cancer
- Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging
- (2018) Takashi Kanesaka et al. GASTROINTESTINAL ENDOSCOPY
- Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks
- (2018) Hirotoshi Takiyama et al. Scientific Reports
- Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
- (2018) Yoshimasa Horie et al. GASTROINTESTINAL ENDOSCOPY
- Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy
- (2018) Yan Zhu et al. GASTROINTESTINAL ENDOSCOPY
- Evaluation of an e-learning system for diagnosis of gastric lesions using magnifying narrow-band imaging: a multicenter randomized controlled study
- (2017) Hiroyoshi Nakanishi et al. ENDOSCOPY
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images
- (2017) Satoki Shichijo et al. EBioMedicine
- Magnifying endoscopy simple diagnostic algorithm for early gastric cancer (MESDA-G)
- (2016) Manabu Muto et al. Digestive Endoscopy
- Novel computer-aided diagnostic system for colorectal lesions by using endocytoscopy (with videos)
- (2015) Yuichi Mori et al. GASTROINTESTINAL ENDOSCOPY
- Diagnostic performance and limitations of magnifying narrow-band imaging in screening endoscopy of early gastric cancer: a prospective multicenter feasibility study
- (2014) Kenshi Yao et al. Gastric Cancer
- An efficient diagnostic strategy for small, depressed early gastric cancer with magnifying narrow-band imaging: a post-hoc analysis of a prospective randomized controlled trial
- (2013) Shinya Yamada et al. GASTROINTESTINAL ENDOSCOPY
- Sensitivity of endoscopic screening for gastric cancer by the incidence method
- (2013) Chisato Hamashima et al. INTERNATIONAL JOURNAL OF CANCER
- Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement
- (2013) Rie Miyaki et al. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
- Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics
- (2012) Y Kanda BONE MARROW TRANSPLANTATION
- Japanese classification of gastric carcinoma: 3rd English edition
- (2011) Gastric Cancer
- Magnifying Narrowband Imaging Is More Accurate Than Conventional White-Light Imaging in Diagnosis of Gastric Mucosal Cancer
- (2011) Yasumasa Ezoe et al. GASTROENTEROLOGY
- Gastric Adenocarcinoma of Fundic Gland Type (Chief Cell Predominant Type): Proposal for a New Entity of Gastric Adenocarcinoma
- (2010) Hiroya Ueyama et al. AMERICAN JOURNAL OF SURGICAL PATHOLOGY
- Magnifying endoscopy with narrow-band imaging achieves superior accuracy in the differential diagnosis of superficial gastric lesions identified with white-light endoscopy: a prospective study
- (2010) Masayuki Kato et al. GASTROINTESTINAL ENDOSCOPY
- Magnifying endoscopy for diagnosing and delineating early gastric cancer
- (2009) K. Yao et al. ENDOSCOPY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started