Cirrhosis detection from CT scans
We present our project where we proposed an end-to-end and reproducible approach for detecting cirrhosis from CT.
Automated RANO solution for clinical trial
Our automated RANO algorithm performed admirably when compared to the most-experienced expert readers.
Medical image segmentation development process
We have developed a methodology that allows us to create innovative solutions for medical image segmentation.
POC: Limit of Detection in PCR
The polymerase chain reaction technique is widely used to rapidly make copies of a specific RNA/DNA sample.
Segmentation of the thoracic aorta in contrast enhanced CT images
We developed an AI algorithms for the segmentation of thoracic aorta on contrast enhanced cardiac CT images.
Research: Pelvic bones fracture examination based on CT scans
Graylight Imaging specialists focused on developing of an algorithm for pelvis bone classification and segmentation.
PET/CT in lung cancer analysis assisted with radiomic-based features
Improving lung cancer diagnosis from medical image data. We conducted a study using radiomic features.
Research study: delineating high-uptake lung lesions from CT scans
We designed a convolutional neural network architecture operating on 3D patches (based on CT images).
Hollowing, i.e. Precise Geometry Preparation for 3D Print
We created an algorithm resistant to most problems experienced in practice in precise geometry preparation for 3D Print.
Blender – facilitation the segmentation of coronary vessels
Blender plugin for inspecting coronary vessels in MPR and CPR views that facilitates the segmentation from CT.
Automatic, precise segmentation of the coronary arteries
Check our project where we created algorithms for precise segmentation of the coronary arteries on CT images.
Post-Operative Delirium and Post-Operative Cognitive Dysfunction prediction model
Read about the project in which we worked on the POD and POCD prediction machine learning model.