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A Mobile Online Platform for Aged Men's Prostate Hypertrophy Monitoring Based on Linea Nigra Images Analysis

Aged men generally have a hypertrophied prostate. This hypertrophy can evolve in cancer or can just be a benign hyperplasia. Some recent studies revealed that a linear hyperpigmentation of skin called Linea nigra (LN), can appear in men developing prostate cancer or benign prostatic hyperplasia. LN’s prevalence is higher in the case of prostate cancer. It has been established that when a LN appears on someone’s suprapubic region and has a length greater than ten centimeters, it indicates a metastasized or metastasizing tumor. Based on this, we developed in a previous work a method of LN segmentation. From segmented images, we can calculate descriptive values such as length, width, area, texture and color. These values are LN characteristics that can be used by specialists to make diagnosis. In this paper, we propose an implementation of those methods in an Android mobile application. The aim is to connect patients to their specialists for distant monitoring purpose based on images taken with their mobile phones. The specific architecture of the platform also helps in providing more precision in detection thanks to a deep learning program. Keywords— linea nigra images analysis; mobile application; aged persons distant health monitoring