Medical Image + Deep Learning Algorithm = Faster Cancer Diagnosis with Better Efficacy
MRI, DICOM Analysis
In oncology, Positron Emission Tomography (PET) imaging is widely used in diagnostics of cancer metastases, in monitoring of progress in course of the cancer treatment, and in planning radiotherapeutic interventions. Accurate and reproducible delineation of the tumor in the PET scans remains a difficult task, despite being crucial for delivering appropriate radiation dose, minimizing adverse side-effects of the therapy, and reliable evaluation of treatment. Our aim is to provide clinicians with intelligent software supporting accurate, efficient and reproducible delineation of the tumor.
Latest News & Blogs
Abstract INTRODUCTION: Automatic functional volume segmentation in PET images is a challenge that has been addressed using a large array of methods. A major limitation for the field has been the lack of a benchmark dataset that would allow direct comparison of the...
We've been on Pioneers in Vienna on 24-25 April 2018.
We've just got the email from nVidia: "Congratulations! You’re in Inception. After careful review, we have determined Cancer Center is a great fit for NVIDIA’s Inception Program. Thank you for advancing the field of Artificial Intelligence (AI) in a meaningful way!"...
FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems
Good news! The U.S. Food and Drug Administration today permitted marketing of the first medical device to use artificial intelligence to detect greater than a mild level of the eye disease diabetic retinopathy in adults who have diabetes. Diabetic retinopathy occurs...
Cancer Center Team will on the Startup Semi-Finals (Great Pitch) at Wolves Summit on Warsaw on 10.04.2018. The Great Pitch is a pitching challenge for 50 qualified startups. Our pitch will be at 3.24 pm. See you there. More details at: https://www.wolvessummit.com/en...