AI Platform

Analyzing CT images+ Machine and Deep Learning = Early Diagnosis and Treatment of liver cancer

Liver Pro is changing the way liver cancer Pathology is Practiced!

Liver cancer research and diagnosis is being redefined by a new technology: a technology that promises of computational methodology to reduce human error and increase time and accuracy efficiency through intelligent analysis of CT images.

  Liver Pro’s application is pushing it’s technology past limits of traditional methodologies in diagnosis of liver cancer with its digital platform and pipeline of AI application. Developed by a combination of medical advisor and software developers, Liver Pro is transforming the economics and practice of liver cancer pathology, putting the power of early diagnosis and treatment of liver cancer using data-centric algorithms through analyzing CT images.

Our Mission – To help fight cancer, the leading cause of death in the world. Providing early and accurate diagnosis with low costs is our mission as a commercial business as well as a health worker.

The number of deaths from Hepatocellular carcinoma (HCC), the primary cancer of the liver, is derived from hepatocytes and occurs in more than approximately 80% of cases of liver cancer. Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer accounting for 7.5% and 3.5% of all cancers among men and women, respectively and accounts for half a million deaths per year. The distribution of HCC varies widely. In terms of global prevalence, HCC ranks as the eighth most common cancer, sixth among men and eleventh among women. Although HCC is more prevalent in Asian and African nations, there is evidence to conclude that the incidence of HCC is rising in developed countries.

Using Deep Learning (DL) and Machine Learning (ML) platforms, we have developed specialized algorithmic solutions to analyze CT images for faster and better assessment than human accuracy. Our solutions, which are both in API and Web Platforms, are designed to offer faster and better access for second and third diagnostic opinions by medical professionals to help develop a therapeutic approach quickly. This will help the patients and physicians by reducing anxiety caused by not knowing what they are dealing with and will result in selecting best treatment method personalized by patient’s situation.

You focus on savings lives, We focus on early diagnosis!

 

Use Liver Pro advantage at your Medical Facility

Accuracy

Of all the commonly utilized non-invasive clinical imaging modalities, CT is the most accurate and versatile. However, the diagnosis of liver cancer which is performed manually is both time consuming and sensitive to observer variability. Liver Pro is resolving these two challenges.

Segmentation

In this case, an effective image analysis is important. Although many segmentation methods have been successfully used in medical imaging, it has been found that most of them generally do not perform well in segmenting the liver boundary from a CT liver image. This is mainly due to the fact that there are other organs adjacent and close to the liver which makes segmentation more difficult.  Through our unique segmentation approach we resolve this problem.

Accessible, Cost Effective and Accurate

Our software has the potential to generate diagnosis report, as it can be integrated in CT ‎consoles. Hence, it will give the opportunity to perform diagnostic assessment not only in ‎more frequent practices, but also in remote places where no experienced observer may be ‎available.‎
Since our platform allows fully automated diagnosis of liver cancer in real-time, a a significant amount of time spent by the radiologist to interpret the CT scans is saved; therefore, the software saves not only time but also ‎money. ‎

Quality is Ensured

Liver Pro uses the power of Artificial Intelligence through using unique deep learning algorithms to diagnose liver cancer and tumor. Using the power AI, Liver Pro eliminates human errors such as exhaustion, emotions and etc. Our AI platform is always there to provide a complete and instant report on your patients

Technologies involved

The technology is based upon the application of AI to advanced imaging modalities using CT images.

In the proposed procedure, CNNs are applied to detect and classify liver cancer CT scans of the patients collected from hospitals. Convolutional Neural Networks is a sort of deep learning paradigm applied for processing data which has a grid pattern like images, it is all about using Deep Learning with Computer Vision. A good way to gain foreknowledge about this technique is to imagine a Neural Network Architecture also how it is practiced to visual tasks i.e. Video and Images. Furthermore, the Convolutional Neural Networks is an important technique used for Object Recognition, create Facial Recognition, Self-Driving Cars.

How our technology works

Liver Pro Technology is based on Artificial Intelligence using unique machine learning algorithms