saras-esad.grand-challenge.org
Preview meta tags from the saras-esad.grand-challenge.org website.
Linked Hostnames
14- 17 links togrand-challenge.org
- 10 links tosaras-esad.grand-challenge.org
- 2 links toarxiv.org
- 2 links todrive.google.com
- 2 links togithub.com
- 1 link toaws.amazon.com
- 1 link tocomic.github.io
- 1 link todiagnijmegen.github.io
Search Engine Appearance
SARAS-ESAD - Grand Challenge
This challenge is part of Medical Imaging with Deep Learning conference, 2020. The conference is held between 6 ‑ 8 July 2020 in Montréal. The SARAS (Smart Autonomous Robotic Assistant Surgeon) EU consortium, www.saras-project.eu, is working towards replacing the assistant surgeon in MIS with two assistive robotic arms. To accomplish that, an artificial intelligence based system is required which not only can understand the complete surgical scene but also detect the actions being performed by the main surgeon. This information can later be used infer the response required from the autonomous assistant surgeon.
Bing
SARAS-ESAD - Grand Challenge
This challenge is part of Medical Imaging with Deep Learning conference, 2020. The conference is held between 6 ‑ 8 July 2020 in Montréal. The SARAS (Smart Autonomous Robotic Assistant Surgeon) EU consortium, www.saras-project.eu, is working towards replacing the assistant surgeon in MIS with two assistive robotic arms. To accomplish that, an artificial intelligence based system is required which not only can understand the complete surgical scene but also detect the actions being performed by the main surgeon. This information can later be used infer the response required from the autonomous assistant surgeon.
DuckDuckGo
SARAS-ESAD - Grand Challenge
This challenge is part of Medical Imaging with Deep Learning conference, 2020. The conference is held between 6 ‑ 8 July 2020 in Montréal. The SARAS (Smart Autonomous Robotic Assistant Surgeon) EU consortium, www.saras-project.eu, is working towards replacing the assistant surgeon in MIS with two assistive robotic arms. To accomplish that, an artificial intelligence based system is required which not only can understand the complete surgical scene but also detect the actions being performed by the main surgeon. This information can later be used infer the response required from the autonomous assistant surgeon.
General Meta Tags
7- titleHome - SARAS-ESAD - Grand Challenge
- charsetUTF-8
- Content-Typetext/html; charset=utf-8
- viewportwidth=device-width, initial-scale=1
- twitter:cardsummary_large_image
Open Graph Meta Tags
5- og:typewebsite
- og:urlhttps://saras-esad.grand-challenge.org/
- og:site_namegrand-challenge.org
- og:titleSARAS-ESAD - Grand Challenge
- og:descriptionThis challenge is part of Medical Imaging with Deep Learning conference, 2020. The conference is held between 6 ‑ 8 July 2020 in Montréal. The SARAS (Smart Autonomous Robotic Assistant Surgeon) EU consortium, www.saras-project.eu, is working towards replacing the assistant surgeon in MIS with two assistive robotic arms. To accomplish that, an artificial intelligence based system is required which not only can understand the complete surgical scene but also detect the actions being performed by the main surgeon. This information can later be used infer the response required from the autonomous assistant surgeon.
Link Tags
3- shortcut iconhttps://static.grand-challenge.org/358910e/images/favicon.ico
- stylesheethttps://static.grand-challenge.org/358910e/CACHE/css/output.e414ee31397b.css
- stylesheethttps://static.grand-challenge.org/358910e/CACHE/css/output.cded6cc32def.css
Links
42- http://www.saras-project.eu
- https://arxiv.org/abs/2006.07164
- https://arxiv.org/abs/2104.03178
- https://aws.amazon.com
- https://comic.github.io/grand-challenge.org