Yonsei University

Seoul Women's University Industry-university Cooperation Foundation

Oncosoft Inc.

Joon Seok Lim

Jin Sung Kim

Sang Joon Shin

Min Cheol Han

Hansang Lee

Helen Kim Hong

Jee Suk Chang

Seong Gong Moon

The present disclosure relates to a method for tracking a tumor in a CT image and a system for diagnosing using the same. The method for tracking tumor includes the operations of: generating a 3D modeling image including at least one characteristic area in a subject's body based on the CT image of the subject; tracking a change according to a flow of time in the 3D modeling image with respect to the subject's characteristic area to generate time series data; and schematizing the time series data.

Method for tracking tumor in CT image and system for diagnosing using the same

A learning-based lesion classification method performed by a computer is provided. The method includes obtaining a medical image including lesion regions, extracting at least one sample region from the lesion regions within the medical image, generating LINA patch data based on the at least one sample region, and classifying the lesion regions within the medical image by performing learning based on the LINA patch data.

Method and apparatus for classification of lesion based on learning data applying one or more augmentation methods in lesion information augmented patch of medical image

Growing community of inventors

Seoul, South Korea

Joon Seok Lim