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A comparative study comparing the deep-learning based segmentation results with the results done by a radiologist,
which was published and presented at the Korean Congress of Radiology(KCR) 2019.
|calss||Average Dice Score(%)|
|Abdominal visceral fat||97.9|
|Subcutaneous and intramuscular fat||98.1|
|Internal organ and major vessels||97.2|
|Intracranial structure and spinal canal||99.2|
|All classes combined||97.9|
Beyond a simple height and weight measurements, DeepCatch can save a patient’s life from drug abuse by providing accurate body composition data.
DeepCatch can provide an accurate body fat indicator in relation to morbidity and mortality.
Precise and detailed body compositions can save lives of cancer patients or patients who went through a major surgery, suffering from sarcopenia.