Better and faster cancer diagnosis
The purpose of the project is to innovate in the field of medical imaging.
Today the hospitals and diagnostic centers experience difficulties in making the proper diagnosis based on the image data from histopathology, MRI or PET. First, the distinction between cancer grades is difficult to estimate and different doctors can have different opinions, second, there are technical challenges in sharing and analyzing the images in a cost-effective manner.
Our mission is to leverage our cutting-edge algorithms to create a sharing platform for doctors and patients to pre-diagnose the histopathology, MRI and PET images automatically. This way the diagnosis could be made quicker and at lower cost. We have competences and experience to accomplish this goal. Our software was already awarded the first price: at MICCAI 2015 for “Combined Imaging and Digital Pathology Primary Tumor Classification”, and at MICCAI 2016 for segmentation of PET images. Our software is currently used at Lower Silesian Center of Oncology and evaluated at the Universitätsklinikum Carl Gustav Carus in Dresden in the field of histopathology and at the University of Edinburgh in MRI Imaging.
Our goal is to build the medical platform for sharing medical images with other medical experts and pre-diagnose them with our award-winning algorithms. There will be other new algorithms (open source and commercial).
This platform will help people and other physicians to get the second opinion about their image data and pre-evaluate the diagnosis before the real one is made.
In the future, our platform will be offer to medical universities - tool to learn new physicians in Medical imaging (MRI, PET, Pathology, others)
Our current products for Pathology: PathoCam and PathoViewer: micro.cancercenter.ai
We offer also web DICOM viewer: radiology.cancercenter.eu
For more information please contact us and take a look at http://cancercenter.ai/