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Organ Segmentation

The process of multi-organ segmentation plays a vital role in the analysis of medical images and makes great achievements in computer-aided diagnosis. It’s an important process that is a prerequisite for qualitative analysis, diagnosis, monitoring, and treatment of a patient.

Manual segmentation methods takes a lot of time and requires very well-experienced radiologists.AI can detect and segment organs much faster with great accuracies from different kinds of scans

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Data Sets

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Comprises 48 patient CT images from the Radiation Therapy Oncology Group (RTOG) (Right Click and Save)


Two databases are used included: Abdominal CT and MRI (T1 and T2 weighted). Each data set in these two databases corresponds to a series of DICOM images belonging to a single patient


Off-the-Shelf Products using AI for Organ Segmentation

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