CASE STUDIES
POC: Limit of Detection in PCR
The polymerase chain reaction (PCR) technique is widely used to rapidly make millions to billions of copies of a specific RNA/DNA sample. Read about proof of concept.
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. Using U-net-like architecture, we distinguish the pelvic bones and their fractures.
PET/CT in lung cancer analysis assisted with radiomic-based features
Improving lung cancer diagnosis from medical image data is a key factor of the screening process. We conducted a study using radiomic features elaborated from the image which could correlate with patient’s clinical parameters.
Research study: delineating high-uptake lung lesions from CT scans
We designed a convolutional neural network (CNN) architecture (with just two convolutional layers and a fully-connected classifier) operating on 3D patches, capturing several neighboring frames from of an input CT image frame.
Hollowing, i.e. Precise Geometry Preparation for 3D Print
We created an iterative algorithm resistant to most problems experienced in practice in precise geometry preparation for 3D Print.
Blender – facilitation the segmentation of coronary vessels
Blender plugin we created for inspecting coronary vessels in MPR and CPR views that facilitates the segmentation from CT significantly.
Automatic, precise segmentation of the coronary arteries
Check our project where we created algorithms for precise segmentation of the coronary arteries on computed tomography images.
Post-Operative Delirium and Post-Operative Cognitive Dysfunction prediction model
Read about the project in which we worked on the Post-Operative Delirium and Post-Operative Cognitive Dysfunction prediction model.
Automatic brain tumor segmentation with subregions
We’ve created a precise algorithm that performs automatic brain tumor segmentation with subregions and volume calculation.
Segmenting pediatric optic pathway glioma from MRI using deep learning
We conducted the experimental study to create and train ML for automated segmentation of pediatric optic pathway gliomas (OPG).
Postoperative glioma project
Read about the project in which we created an AI model dedicated to advanced segmentation of postoperative glioma.
Preoperative glioma project
Read about the project in which we created an AI model dedicated to advanced segmentation of preoperative glioma.
