Tech

Google’s new AI System More Effective than Humans to Detect Lung Cancer

Published

4 years ago

May 29, 2019

WASHINGTON – Scientists at Google have claimed that an Artificial Intelligence model developed by them is more effective than human experts in detecting the lung cancer. The AI-based system uses Deep Learning to detect malignant lung nodules on LDCT (low-dose chest computed tomography) scans. This would help to ensure the early diagnosis of lung cancer and hence, it will be possible to treat the disease in its earlier stage. An automated image evaluation system would help to enhance the accuracy in the early diagnosis of the deadly disease. While comparing the results with that of radiologists, it was found that the deep-learning based system works better than those radiologists.

Deep-learning technique uses 3D images. But radiologists carry out the diagnosis of lungs by detecting thousands of 2D images. Hence, it makes the whole process easier to detect any tumor with the help of 3D images.

A research assistant professor at Northwestern University in the United States, Mozziyar Etemadi, shared, “AI in 3D can be much more sensitive in its ability to detect early lung cancer than the human eye looking at 2D images. This is technically ‘4D’ because it is not only looking at one CT scan, but two over time. In order to build the AI to view the CTs in this way, you require an enormous computer system of Google-scale. The concept is novel but the actual engineering of it is also novel because of the scale.”

The research highlights the importance of AI-based technology, as it would make the entire screening process a lot easier if executed well. Hence, by early detection of lung cancer, it will be possible to reduce the mortality rate as lung cancer contributes to the highest number of deaths.

In the Deep-learning technology, both primary CT scan as well as prior CT scan results are taken into consideration. This makes it feasible to predict lung-cancer malignancy risk and hence detect the lung cancer in its earlier stage. The new AI-based system has been tested for over 6,000 de-identified CT scan sets in order to study its accuracy. And, it was found that this system helps to spot minuscule malignant nodules easily.

Tech

CDN Security: Protecting Your Content and Users

Published

3 days ago

June 7, 2023

Jonathan Grilli

Cyber attacks are becoming more sophisticated and can cause companies severe disruption and financial loss. On average, IT outages cost companies $5,600 per minute. That’s why providing layered cloud protection is essential to improve organizations’ security. The CDN service guarantees such protection, so today, we will delve into what it is and what advantages it provides to users and organizations.

What is CDN security?

The main task of a CDN is to speed up page loading and improve website performance. Along with that, CDN also helps improve security. CDNs are content delivery networks comprising geographically distributed servers connected and optimized through private global networks. This allows the CDN to avoid overloading ISPs and public networks.

The technology is based on caching, where copies of the content are stored on different data processing servers and local caching servers worldwide. Content is served from edge servers closer to users than from the origin server. This is how technology ensures fast, reliable, and secure content delivery. Almost every popular service you use currently uses such solutions: from Netflix and YouTube to online game providers, large e-commerce companies, and government and public institutions.

How does a CDN improve the security of a website and its users?

A content delivery network uses reverse proxy technology to place its servers in front of websites at the network’s edge. This allows CDNs to prevent threats such as DDoS attacks before they even reach a website. In addition, a CDN can balance the load by efficiently distributing traffic between servers, which helps avoid congestion. It also sits at the network’s edge, filtering threats before they reach a website.

How to choose reliable CDN protection?

It’s worth using an integrated, intelligent CDN security solution, and this is precisely what GCore offers its customers. In addition, it is important to pay attention to the following points:

The service must include advanced threat detection capabilities, such as sophisticated bot attacks, malware, and layer 7 DDoS attacks.
A CDN must provide encryption to protect against network failures and other threats.
Evaluate your network size and security infrastructure to select the optimal service package.
Give preference to solutions compatible with the SSL certificates used.

Integrated, intelligent CDN security solutions with analytics and reporting are among the services the GCore team offers. Take care of your online security with GCore before cyber threats become a real problem rather than a potential one.