Abstract: A method of automatically assessing skeletal age of hand radiographs, comprising: providing a radiographic image of both two hands; cropping a first image of the left hand or the right hand; rotating the first image to make the fingertip of the medius point upwards the vertical; cropping a second image of the medius; segmenting the phalanges of the medius to acquire a third image; extracting a plurality of physiological features of the third image to acquire a first data; extracting a plurality of morphological features of the third image to obtain a second data; delivering the first data and the second data to a neural network for training; and outputting an assessment of the skeletal age.

Abstract: The present eye activity monitoring system includes a monitoring apparatus for acquiring the eye image of a user in a closed eye state and an image-processing apparatus for generating an alarm signal based on the eye image. The monitoring apparatus includes an eye mask, an image-sensing unit positioned on the eye mask, a control circuit electrically connected to the image-sensing unit, a transmitting module electrically connected to the control circuit, an antenna electrically connected to the transmitting module and at least on power supply positioned on the eye mask. The image-processing apparatus has a receiving module and an image-processing module. The image-processing module judges the eye status according to the acquired feature of the eye image, and sends a warning alarm to trigger the warning device when an abnormal event occurs.

Abstract: A method of automatically assessing skeletal age of hand radiographs, comprising: providing a radiographic image of both two hands; cropping a first image of the left hand or the right hand; rotating the first image to make the fingertip of the medius point upwards the vertical; cropping a second image of the medius; segmenting the phalanges of the medius to acquire a third image; extracting a plurality of physiological features of the third image to acquire a first data; extracting a plurality of morphological features of the third image to obtain a second data; delivering the first data and the second data to a neural network for training; and outputting an assessment of the skeletal age.