Abstract: Provided are a computing device and methods for quantifying a lesion in a biometric image. In certain aspects, disclosed a method including the steps of: extracting a lesion information in a plurality of first biometric images from each of the plurality of first biometric images three-dimensionally photographed of an object based on a machine learning model; generating a plurality of second biometric images in which a region of the lesion information, by performing image processing on each of the plurality of first biometric images; and calculating a volume of the lesion quantitatively using the region of the lesion information.

Abstract: The triple-well according to the present invention reduces a photo process forming a well isolation region which is used in a method for forming a prior well. That is, two times of photo processes are reduced to be one time, thereby simplifying a method for forming a triple-well of the DRAM device and reducing time and expenditure.