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Medical Image + Deep Learning Algorithm = Faster Cancer Diagnosis with Better Efficacy

Digital Pathology

In terms of precision, there are no better methods of seeing a single tissue as… to examine the tissue under the microscope. Every histopathologist would agree that sometimes finding the most descriptive part of the slide is a harder task than it is to make the diagnosis itself. Fortunately, it is not a problem for us. We can localize the most important parts of the slide, what is more, we can extract the very factors that influence diagnostic models the most. We offer Manual Whole Slide Imaging Software (PathoCam) to save pathology images by using your own microscope equipment and PathoViewer to zoom/view, annotate and share it by web/browser.
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MRI, DICOM Analysis

It is one of the most important and most profitable diagnostic tools. Not only this medical imaging modality is not invasive but also can be applied in many different scenarios, obtaining images of pretty much every part of the human body. In case of the prostate cancer, our software/deep learning algorithms can be used to find Region of Interest (ROI), cancer segmentation automatically.

 

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PET 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.

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Image Database

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Latest News & Blogs

CancerCenter.ai on Microsoft event for healthcare

Nov 24, 2020 |

We show our products - the Pathoplatform on Microsoft event: "Artificial intelligence, machine learning and Big Data in health MTC Warsaw on November 19, 2020, (Sztuczna inteligencja, uczenie maszynowe i Big Data w zdrowiu)

Kaggle MICCAI 2020 prostate cancer challenge

May 8, 2020 |

We take part in Kaggle/MICCAI 2020 challenge to classify Prostate cancer "Prostate cANcer graDe Assessment (PANDA) Challenge Prostate cancer diagnosis using the Gleason grading system" From the organizer website: With more than 1 million new diagnoses reported every...

AI to Detect COVID-19 on CT scans

Mar 27, 2020 |

Representative examples of the attention heatmaps generated using Grad-CAM method for (a) COVID-19, (b) CAP, and (c) Non-Pneumonia. The heatmaps are standard Jet colormap and overlapped on the original image, the red color highlights the activation region associated...

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