Abstract: A non-transitory computer-readable recording medium storing a machine learning program for causing a computer to execute a process, the process includes inputting moving image data that includes at least a first frame image and a second frame image to a first machine learning model trained by using training data, and training an encoder by detecting a first object and a second object from the first frame image and the second frame image, respectively, based on an inference result by the first machine learning model, determining identity between the first object and the second object that have been detected, and inputting, to the encoder, first data in a first image area that includes the first object and second data in a second image area that includes the second object, the first object and the second object having been determined to have the identity.

Abstract: The present invention relates to a method of testing the sensitivity of cancer drugs with cancer cells cultured in vitro. Cancer cells are cultured in a collagen gel substrate. A wide variety of human cancer cell types readily proliferate in the collagen gel substrate, however, fibroblast cells proliferate as well. The measurement of the growth of the cancer cells is hindered by the presence of the fibroblast cells. The present invention solves this problem by counting the number of colonies with an image processor which selectively extracts the image signals of cancer cells and their colonies. In a second embodiment, the growth of cancer cells is determined by measuring the volume of colonies with the image signals of cancer cells and their colonies selectively extracted. The results can be obtained effectively within a short period of time.