Acer Medical Inc.

Acer Inc.

National Taiwan University

Ming-Ke Chen

Chin-Han Tsai

Yi-Ting Hsieh

Yi-Jin Huang

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computer aided diagnosis of a medical image. One of the methods includes processing the medical image through a machine learning (ML) model to provide a first feature representation of the medical image, wherein the ML model includes an input layer and a pooling layer, wherein the first feature representation is an output from the pooling layer, generating, by the ML model, a sequence of second feature representations of the medical image from the first feature representation of the medical image, wherein each second feature representation in the sequence of the second feature representations having a lower dimension than the first feature representation, and generating, by the ML model, an output as a last second feature representation in the sequence of the second feature representations.

Diabetic retinopathy detection using machine learning

An image pre-processing method and an image processing apparatus for a fundoscopic image are provided. A region of interest (ROI) is obtained from a fundoscopic image to generate a first image. The ROI is focused on an eyeball in the fundoscopic image. A smoothing process is performed on the first image to generate a second image. A value difference between neighboring pixels in the second image is increased to generate a third image.

Image pre-processing method and image processing apparatus for fundoscopic image

The disclosure provides a method for obtaining a fluorescent fundus image, the method including the following steps: receiving a to-be-detected color fundus image; obtaining a color feature of the to-be-detected color fundus image; encoding the color feature of the to-be-detected color fundus image according to a fundus image transformation model to transform the to-be-detected color fundus image into a to-be-detected fluorescent fundus image; and outputting the to-be-detected fluorescent fundus image.

Growing community of inventors

Taipei, Taiwan

Ming-Ke Chen