Synopsis of Social media discussions
Discussions highlight the innovative use of deep neural networks in endoscopy, with quotes like 'Fig. 10 representative images predicted by the DCNN' showing technical depth and interest. The tone conveys excitement about the potential improvements in cancer detection and the move towards precision medicine, indicating high interest and perceived impact.
Agreement
Moderate agreementMost discussions recognize the positive impact of the neural network on cancer detection, indicating general agreement with the publication's findings.
Interest
High level of interestThe discussions are highly engaging, with posters showing keen interest by referencing specific parts of the research, such as the neural network's ability to detect early gastric cancer and mentioning figures like Fig. 10.
Engagement
Moderate level of engagementPosts delve into details, referencing the example images and the absence of blind spots, reflecting a thoughtful engagement with the content.
Impact
High level of impactThe emphasis on improved detection capabilities and the potential for clinical application demonstrates a belief in the significant impact of this research.
Social Mentions
YouTube
2 Videos
2 Posts
6 Posts
News
2 Articles
Metrics
Video Views
252
Total Likes
10
Extended Reach
20,466
Social Features
12
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Enhancing Early Gastric Cancer Detection with Deep Neural Networks
Honggang Yu discusses how a deep neural network improves endoscopic detection of early gastric cancer without blind spots, as detailed in the 2019 study published in Endoscopy.
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RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
view full postJanuary 17, 2020
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Begoña Glez Suarez
@Bglezsuarez (Twitter)RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
view full postJune 15, 2019
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Angeles Perez Aisa
@drapereza (Twitter)RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
view full postJune 15, 2019
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José C. Marín
@jocamaga1974 (Twitter)RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
view full postJune 15, 2019
5
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Andrea Velasquez
@jeanvemer (Twitter)RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
view full postJune 14, 2019
5
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Endoscopy Journal
@endoscopyjrnl (Twitter)“A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al. Fig. 10 Representative images predicted by the deep convolution neural network (DCNN).... Find out more here: https://t.co/F1x6nY1AEg https://t.co/iuf6gUk7jU
view full postJune 14, 2019
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Abstract Synopsis

Habib_Mourad
@HabibMourad1983 (Twitter)