Next generation of Medical Technology
CennaLab is an intelligent assistant to pathologists not only helping with the process of diagnosis but also providing a platform for reaching other pathologists in the community for consultation worldwide.
Deploying advanced neural networks with higher than of 95% accuracy in cancerous area detection and reducing human error in pathological report generation
Detecting dedicated texture staining and generating respective statistical reports in the image processing system
Scanning the slides in the shortest time with the highest quality
Sharing slides online with other pathologists for consultation
Designing templates for test results and final report generation
Generating standard pathology reports automatically using Bethesda Ability to use as an online microscope
The global digital pathology market size was valued at USD 882.7 million in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 6.8% from 2021 to 2028.
The global anatomic pathology market size was estimated at USD 15.4 billion in 2018 and is expected to register a CAGR of 6.1% over the forecast period
Increased focus on improving workflow efficiency and demand for faster diagnostic tools for chronic diseases, such as cancer, have been key factors driving the growth
Based on product, the digital pathology market is segmented into scanners, software, communication systems and storage systems. The scanner is further sub-segmented into brightfield scanners, fluorescence scanners and other.
Introducing Our Software, a pioneering medical solution meticulously crafted to empower healthcare professionals in the efficient review of pathology reports and the facilitation of collaborative discussions on patient cases.
Our artificial intelligence helps to reduce human fault for cancer diagnosis. Right now we can detect and suggest areas suspicious to being cancerous by highlighting them. We detect these areas using state of the art AI algorithms based on our current database and worldwide available datasets. After releasing the product our database size will increase allowing us to have more accuracy to detect dangerous sections.
Doctors can diagnose faster than before by focusing only on specific sections and diagnose more slides daily
Doctors will be less likely to miss potentially cancerous areas because of our intelligent Cancer detection module.
We provide some image processing features to doctosr such counting cell numbers by sampling which further reduce diagnosis time for doctors.
Our AI diagnosis will become more accurate each day! With enough time we can see our suggestions becoming fully trusted by doctors.
Green and Silver Leaves is a knowledge enterprise in the health care economy aiming to improve the infrastructure and public health of the community. The company started by introducing a new health care platform called Resaa in , a platform for physicians and patients to connect outside the physician’s office. Another recent project, CennaLab is a tech solution for automating the pathology processes. CennaLab is an intelligent assistant to pathologists not only helping with the process of diagnosis but also providing a platform for reaching other pathologists in the community for consultation worldwide