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.

A
Agreement
Moderate agreement

Most discussions recognize the positive impact of the neural network on cancer detection, indicating general agreement with the publication's findings.

I
Interest
High level of interest

The 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.

E
Engagement
Moderate level of engagement

Posts delve into details, referencing the example images and the absence of blind spots, reflecting a thoughtful engagement with the content.

I
Impact
High level of impact

The 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

Facebook

2 Posts

Twitter

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

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.

May 28, 2019

86 views


  • Habib_Mourad
    @HabibMourad1983 (Twitter)

    RT @endoscopyjrnl: “A deep neural network improves endoscopic detection of early gastric cancer without blind spots” by Lianlian Wu et al…
    view full post

    January 17, 2020

    5

  • 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 post

    June 15, 2019

    5

  • 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 post

    June 15, 2019

    5

  • 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 post

    June 15, 2019

    5

  • 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 post

    June 14, 2019

    5

  • 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 post

    June 14, 2019

    9

    5

Abstract Synopsis