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.
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We take a part as a speaker in Health Technology in Connected & Integrated Care Workshop The workshop will witness high participation of policy makers, representatives of universities and research hospitals from different regions, which is fundamental to get an...
We got grants for the project: "Advanced diagnostics of prostate cancer using machine learning methods and deep learning" The aim of the project is to create a tool that allows to significantly accelerate and improve the quality of diagnostic processes associated with...
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)
We share our PathoPlatform (PathoViewer) for Online Workshop for Pathologist supported by Roche Diagnostic.
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...
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...