Liver and liver tumour segmentation in CT

• Automated liver segmentation can be used in many use cases: To improve registration of pre – inter and post procedure images. To assess metabolic syndrome and fatty liver disease. Estimate dose for radioembolization treatment. Liver volume is a decisive factor to decide for surgical treatment.
• Liver tumor segmentation aids in treatment planning and allows for radiomics which can help in tumor characterization.
• Fast (< 5 minutes) segmentation algorithm and is robust to variation in CT scanner equipment.

Input(s):

• CT image.

Main features(s):

• Automated segmentation of the liver and liver tumors packaged in a portable Docker container.

Output(s):

• Liver segmentation.
• Tumor segmentation.

• DL algorithm is integrated into portable Docker container.
• Input can be DICOM or NIFTI, same for output.
• Can run on CPU or GPU.

• Radiologist
• Radio therapy planning.
• Interventional Radiologist.

• Licensing
• Research partnership