Samsung Electronics Co., Ltd.

Yeong Kyeong Seong

Baek Hwan Cho

Chon Hee Lee

Kyoung Gu Woo

Ki Yong Lee

Seung Woo Ryu

Ye Hoon Kim

Won Sik Kim

Jung Hoe Kim

Joo Hyuk Jeon

Ha Young Kim

Moon Ho Park

Keun Joo Kwon

Byung Kon Kang

An apparatus and method for providing additional information for region of interest. The apparatus includes a region of interest extractor configured to extract regions of interest from a first medical image and at least one second medical image, a region of interest merger configured to merge a region of interest of the at least one second medical image into the first medical image, an additional information determiner configured to determine additional information required for each region of interest, and an additional information provider configured to provide the determined additional information for the each region of interest.

Apparatus and method for providing additional information for each region of interest

A method of visualizing anatomical elements in a medical includes receiving a medical image; detecting a plurality of anatomical elements from the medical image; verifying a location of each of the plurality of anatomical elements based on anatomical context information including location relationships between the plurality of anatomical elements; adjusting the location relationships between the plurality of anatomical elements; and combining the verified and adjusted information of the plurality of anatomical elements with the medical image.

Apparatus and method for visualizing anatomical elements in a medical image

There is provided an apparatus for supporting Computer Aided Diagnosis (CAD) based on a speed of a probe. The apparatus includes a region of interest (ROI) detector configured to detect an ROI from a current image acquired from a probe; and an ROI classifier configured to determine whether to classify the ROI using a determined state of a speed, and classify the ROI according to a result of the determination.

Apparatus and method for supporting computer aided diagnosis (CAD) based on probe speed

There is provided an apparatus for visualizing a region of interest (ROI) in a Computer Aided Diagnosis (CAD) system. The apparatus includes: an image receiver configured to receive images; an ROI acquirer configured to acquire the ROI from a current image; and an ROI visualizer configured to, in response to acquisition of the ROI from the current image, output visualization information for visualizing the ROI acquired from the current image based on a change between the ROI acquired from the current image and an ROI acquired from a previous image.

Apparatus and method for visualization of region of interest

Disclosed is region of interest (ROI) detection apparatus and method. The ROI detection apparatus includes: a selecting criterion acquirer configured to acquire a selecting criterion; an image receiver configured to receive a current image; a suspicious area selector configured to select a part of the current image as a suspicious area according to the selecting criterion; and an ROI detector configured to detect an ROI from the suspicious area.

System and method for detecting region of interest

An apparatus and a method for Computer Aid Diagnosis (CAD) based on eye movement are provided. The apparatus includes a gaze area detector configured to detect, based on eye movement of a user, a gaze area on a medical image on which a region of interest (ROI) is detected, the gaze area being an area at which the user gazes for a period of time. The apparatus further includes an ROI redetector configured to detect another ROI on the gaze area.

Apparatus and method for computer aided diagnosis (CAD) based on eye movement

An apparatus and a method for lesion detection are provided. The method of lesion detection involves detecting lesion candidates from a medical image, detecting anatomical objects from the medical image, verifying each of the lesion candidate based on anatomical context information comprising information regarding a location relationship between the lesion candidates and the anatomical objects, and removing one or more false positive lesion candidate from the detected lesion candidates based on a verification result.

Apparatus and method for lesion detection

An apparatus and method thereof include an observation map generator configured to generate a three-dimensional (3D) observation map based on display frequency and/or display duration of a cross-sectional image of a 3D volume image, wherein the 3D observation map three-dimensionally represents degrees of interest for each voxel of the 3D volume image. The apparatus also includes a region of interest marker configured to mark a region of interest.

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Yongin-si, South Korea

Yeong Kyeong Seong