Computer analysis of mammograms
AssigneeBiomediq A/S
InventorsMichiel KALLENBERG, Mads NIELSEN, Martin LILLHOLM
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AssigneeBiomediq A/S
InventorsMichiel KALLENBERG, Mads NIELSEN, Martin LILLHOLM
Estimating the term…
A method of screening a population of women for breast cancer by mammography, comprising establishing a screening schedule, conducting a screening mammography on a patient in accordance with said screening schedule to obtain a mammogram image, determining whether a cancer lesion is visually observable in said mammogram image, in the event that no cancer lesion is visually observable in said mammogram image conducting a computer image analysis of the mammogram image in which no potential cancer lesion is visually observable, said method serving to determine the risk of there being such a lesion physically present or about to arise within a screening interval, said method comprising applying to the image a statistical classifier trained to score on the basis of texture features in the image that reflect such risk.
A method of computer image analysis of a mammogram image in which no potential cancer lesion is visually observable, said method serving to determine the risk of there being such a lesion physically present or about to arise within a screening interval, said method comprising applying to the image a statistical classifier trained to score on the basis of texture features in the image that reflect such risk.
A method of screening a population of women for breast cancer by mammography, comprising establishing a screening schedule, conducting a screening mammography on a patient in accordance with said screening schedule to obtain a mammogram image, determining whether a cancer lesion is visually observable in said mammogram image, in the event that no cancer lesion is visually observable in said mammogram image conducting a computer image analysis of the mammogram image in which no potential cancer lesion is visually observable, said method serving to determine the risk of there being such a lesion physically present or about to arise within a screening interval, said method comprising applying to the image a statistical classifier trained to score on the basis of texture features in the image that reflect such risk.
Dependencies are inferred from the claim text.