Claripi Inc.

Cefo Co., Ltd

Seoul National University

Lg Electronics Inc.

Modern Cell & Tissue Technologies, Inc.

Hyun Sook Park

Sun Ray Lee

Hyun Jung Mo

Tae Jin Kim

Jong Hyo Kim

Ji Won Yang

Seol Chu

Chul Kyun Ahn

Seung Il Lee

Jin Yup Lee

Tai Chul Park

Jang Mi Park

Chang Yong Heo

Tae Yoon Lim

Je Myoung Lee

Disclosed are an apparatus and method for medical image processing according to pathologic lesion properties, the method including: recognizing a readout area different from an original readout area in a medical image by applying a previously trained deep learning model to the medical image, extracting properties, which include at least one of a location and a size of the readout area, from the medical image, and generating a readout image for the readout area, which is different from the original readout area corresponding to a purpose of taking the medical image, by reconstructing the medical image, thereby having an effect on generating a readout image for a different kind of pathologic lesion from a previously acquired medical image.

Apparatus and method for medical image processing according to lesion property

Disclosed are a motion compensation processing apparatus and method of medical images, in which motion of organs is corrected, the method including: acquiring the medical image and combining an organ motion component into the medical image; training at least one deep learning model based on the medical image combined with the organ motion component so that the deep learning model can remove the organ motion component; and acquiring a processing medical image, selecting a deep learning model corresponding to an organ included in the processing medical image, and removing a motion component for the organ.

Motion compensation processing apparatus and method of medical images

The present invention relates to a composition for preserving cells and a method for preserving cells and, more specifically, to: a composition for preserving cells, containing, as active ingredients, plant-derived recombinant human serum albumin and plant peptides, wherein the composition maintains a high cellular survival rate while maintaining animal-free and xeno-free properties and is stable without changes in cellular morphology or surface expression factors in the short-term preservation of cells such as stem cells or primary cultured cells; and a method for preserving cells by using the same.

Composition for preserving cells, containing, as active ingredients, plant-derived recombinant human serum albumin and plant peptides

Provided is a deep learning based contrast-enhanced (CE) CT image contrast amplifying method and the deep learning based CE CT image contrast amplifying method includes extracting at least one component CT image between a CE component and a non-CE component for an input CE CT image with the input CE CT image as an input to a previously trained deep learning model; and outputting a contrast-amplified CT image with respect to the CE CT image based on the input CE CT image and the at least one extracted component CT image.

Apparatus and method for contrast amplification of contrast-enhanced CT images based on deep learning

Provided is a method for CT image denoising based on deep learning, and the method for CT image denoising based on deep learning includes: extracting examination information from an input CT image; selecting at least one deep learning model corresponding to the examination information from multiple previously trained deep learning models; and outputting a CT image denoised from the input CT image by feeding the input CT image into the selected at least one deep learning model.

Apparatus and method for medical image denoising based on deep learning

A three-dimensional cell culture method on the basis of a biodegradable synthetic hydrogel is provided. The method may include culturing cells in a cell culture dish in a non-contact manner using a porous membrane and a biodegradable synthetic hydrogel in the culture of stem cells and primary cells.

Three-dimensional cell culture system and cell culture method using same

The present invention relates to a method for inducing osteogenic differentiation of mesenchymal stem cells and, more particularly, to a short-time osteogenic differentiation method of culturing cells using a porous membrane and a biodegradable synthetic biogel, whereby the cells do not contact a cell culture container. The present invention can significantly shorten the induction period of osteogenic differentiation, compared to the conventional osteogenic differentiation method, and has an effect of the cells being easily separable after differentiation as well.

Method for inducing three-dimensional osteogenic differentiation of stem cells using hydrogel

The present invention relates to a method for co-culture of stem cells using feeder cells, more particularly to a method for culturing stem cells by using a membrane having a number of pores to separate stem cells and feeder cells. In the present invention, the culture condition of stem cells optimized is provided, in which stem cells and feeder cells are cultivated independently in separate spaces while permeating essential substances selectively. The stem cells prepared in the present invention continue to remain indifferent and be supported by feeder cells until needing being sub-cultured. In addition, the stem cells even for therapeutic use can be obtained without any contaminant since not pretreated with a cytostatic agent such as mitomycin or irradiated. Therefore, the method for co-culturing stem cells by using a membrane of the present invention can be widely used for clinical applications.

Growing community of inventors

Seoul, South Korea

Hyun Sook Park