Application of Image Recognition Technology Using Deep Learning to the Medical and Agricultural Fields

Image recognition technology using deep learning is being actively researched every day, and the application fields of image recognition technology are expanding. For example, in the medical field, which many images are collected and diagnosed by humans, and in the agricultural field, which relies heavily on human experience. In this paper, the detection of lesion candidates in capsule endoscope images is described as an example of application of image recognition technology using deep learning to the medical field. And, as an example of application in the agricultural field, the anomaly detection in our automatic cherry sorting system is presented.