Samsung Electronics Co., Ltd.

Seoul National University

Samsung Medison Co., Ltd.

Samsung Life and Welfare Foundation

Moon-ho Park

Yeong-Kyeong Seong

Ye-hoon Kim

Baek-Hwan Cho

Jung-Hoe Kim

Sin-Sang Yu

Min Woo Lee

Jong-Ha Lee

Myung-Eun Lee

Jong-Hyo Kim

Hyeong-Min Jin

Won-sik Kim

Boo-kyung Han

Provided is a medical imaging apparatus including: an image processor configured to extract properties that an object has with respect to at least one feature, based on a plurality of medical images of the object; and a controller configured to control a display to display a first medical image from among the plurality of medical images and the extracted properties and display a first property shown in the first medical image from among the properties and a second property not shown in the first medical image in such a manner that the first property and the second property are distinguished from each other.

Medical imaging apparatus and method of operating same

An apparatus and method for medical diagnostics includes receiving three-dimensional (3D) volume data of a part of a patient's body, and generating two-dimensional (2D) slices including cross-sections of the 3D volume data cut from a cross-section cutting direction. The apparatus and the method also determine whether a lesion in each of the 2D slices is benign or malignant and output results indicative thereof, select a number of the 2D slices based on the results, and make a final determination whether the lesion is benign or malignant based on the selected 2D slices.

Apparatus and method for computer-aided diagnosis

A diagnosis aiding apparatus and method to provide diagnosis information is provided. The diagnosis aiding apparatus includes an information display unit configured to display a reference cross-section of an image, display diagnosis information belonging to the reference cross-section, and display diagnosis information corresponding to a different cross-section within the reference cross-section displayed.

Diagnosis aiding apparatus and method to provide diagnosis information and diagnosis system thereof

An apparatus and method are provided including a first segmenter and a second segmenter. The first segmenter is configured to generate a first segmentation result from a medical image using a first segmentation parameter for a candidate lesion. The second segmenter is configured to determine a target lesion to segment from among the candidate lesion based on the first segmentation result, and generate a second segmentation result using a second segmentation parameter to segment the target lesion.

Apparatus and method for lesion segmentation and detection in medical images

An apparatus and a method for combining three-dimensional ultrasound images are provide. The method involves obtaining a plurality of three-dimensional ultrasound image data that corresponds to a Region of Interest (ROI); detecting one or more landmarks, using a parameter for detection; outputting the detection result and receiving a response from a user; registering each of one or more selected landmarks as link information according to a received response from the user; and generating a combined three-dimensional ultrasound image by combining at least two pieces of three-dimensional ultrasound image data using at least one of the one or more selected landmarks registered as the link information, wherein the at least two pieces of three-dimensional ultrasound image data commonly comprise the at least one of the one or more selected landmarks.

Apparatus and method for combining three dimensional ultrasound images

An apparatus and method for detecting a lesion, which enables to adaptively determine a parameter value of a lesion detection process using a feature value extracted from a received medical image and a parameter prediction model to improve accuracy in lesion detection and lesion diagnosis. The apparatus and the method include a model generator configured to generate a parameter prediction model based on pre-collected medical images, an extractor configured to extract a feature value from a received medical image, and a determiner configured to determine a parameter value of a lesion detection process using the extracted feature value and the parameter prediction model.

Growing community of inventors

Hwaseong-si, South Korea

Moon-ho Park